From 59f019132a898a4e6faf972d093948d8826a0e9c Mon Sep 17 00:00:00 2001 From: rrutmann Date: Mon, 15 Jul 2024 13:18:00 +0200 Subject: [PATCH 01/70] Add example config for the construction of chat templates --- .../apply_chat_template_config.yaml | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 config_files/data_preparation/apply_chat_template_config.yaml diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml new file mode 100644 index 00000000..339ae616 --- /dev/null +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -0,0 +1,17 @@ +settings: + src_path: data/lorem_ipsum_sft.jsonl + dst_path: data/lorem_ipsum_sft.pbin + index_path: data/lorem_ipsum_sft.idx + num_cpus: ${node_env:num_cpus} + + +special_tokens: + b_assistant_token: + e_assistant_token: + eod_token: <|endoftext|> + +message_construction: + - system instruction + - conversations + + assistant_role: gpt From 8b60a8311ca4d84fab8dc03c24e6c897b937054b Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 15 Jul 2024 13:44:35 +0200 Subject: [PATCH 02/70] chore: add chat template config based on jinja2 --- .../apply_chat_template_config.yaml | 37 +++++++++++++------ 1 file changed, 26 insertions(+), 11 deletions(-) diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 339ae616..32ee649d 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -1,17 +1,32 @@ settings: src_path: data/lorem_ipsum_sft.jsonl - dst_path: data/lorem_ipsum_sft.pbin - index_path: data/lorem_ipsum_sft.idx - num_cpus: ${node_env:num_cpus} + dst_path: data/lorem_ipsum_sft_converted.jsonl -special_tokens: - b_assistant_token: - e_assistant_token: - eod_token: <|endoftext|> - -message_construction: - - system instruction - - conversations +# Note: the b_assistant_token, e_assistant_token and eod_token is required to be part of the chat tempalte for proper loss masking! +# Note: messages is data-driven by the input JSONL file under ${settings.src_path} +chat_template: | +{% data['system_instruction'] %} +{% for message in messages %} +{{message['role']:}} +{% if message['role'] == data['assistant_role'] %} +{{data['special_tokens']['b_assistant_token']}} +{% endif %} +{{ message['content'] + '\n'}} +{% if message['role'] == data['assistant_role'] %} +{{data['special_tokens']['e_assistant_token']}} +{% endif %} +{% endfor %} +{% if add_generation_prompt %} +{{message['role']:}} +{% endif %} +{{ eod_token + '\n' }} +chat_template_data: assistant_role: gpt + system_instruction: "Be a helpful assistant and provide a response to the user's message." + add_generation_prompt: False + special_tokens: + b_assistant_token: + e_assistant_token: + eod_token: <|endoftext|> From ba2f65c529867a0fd9966f0dbfd76ab464319fba Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 15 Jul 2024 13:48:20 +0200 Subject: [PATCH 03/70] chore: update chat template config based on jinja2 --- .../apply_chat_template_config.yaml | 32 +++++++++---------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 32ee649d..8553b024 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -5,22 +5,22 @@ settings: # Note: the b_assistant_token, e_assistant_token and eod_token is required to be part of the chat tempalte for proper loss masking! # Note: messages is data-driven by the input JSONL file under ${settings.src_path} -chat_template: | -{% data['system_instruction'] %} -{% for message in messages %} -{{message['role']:}} -{% if message['role'] == data['assistant_role'] %} -{{data['special_tokens']['b_assistant_token']}} -{% endif %} -{{ message['content'] + '\n'}} -{% if message['role'] == data['assistant_role'] %} -{{data['special_tokens']['e_assistant_token']}} -{% endif %} -{% endfor %} -{% if add_generation_prompt %} -{{message['role']:}} -{% endif %} -{{ eod_token + '\n' }} +chat_template: > +"{% chat_template_data['system_instruction'] %}" +"{% for message in messages %}" +"{{message['role']:}} " +"{% if message['role'] == chat_template_data['assistant_role'] %}" +"{{chat_template_data['special_tokens']['b_assistant_token']}}" +"{% endif %}" +"{{ message['content'] + '\n'}}" +"{% if message['role'] == chat_template_data['assistant_role'] %}" +"{{chat_template_data['special_tokens']['e_assistant_token']}}" +"{% endif %}" +"{% endfor %}" +"{% if add_generation_prompt %}" +"{{message['role']:}} " +"{% endif %}" +"{{ eod_token + '\n' }}" chat_template_data: assistant_role: gpt From 47e71c363a7e21168e18deb2b3a0dfc94b878743 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 15 Jul 2024 17:14:26 +0200 Subject: [PATCH 04/70] chore: Add apply chat template feature with role mapping --- .../apply_chat_template_config.yaml | 45 ++++++----- data/lorem_ipsum_sft.jsonl | 10 +++ src/modalities/__main__.py | 44 ++++++----- .../dataloader/apply_chat_template.py | 77 +++++++++++++++++++ 4 files changed, 135 insertions(+), 41 deletions(-) create mode 100644 data/lorem_ipsum_sft.jsonl create mode 100644 src/modalities/dataloader/apply_chat_template.py diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 8553b024..36dc7578 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -1,32 +1,37 @@ settings: src_path: data/lorem_ipsum_sft.jsonl dst_path: data/lorem_ipsum_sft_converted.jsonl + conversations_key: 'conversations' +instruction_data_transformation: + role_mapping: + human_1: User1 + human_2: User2 + gpt: Assistant # Note: the b_assistant_token, e_assistant_token and eod_token is required to be part of the chat tempalte for proper loss masking! -# Note: messages is data-driven by the input JSONL file under ${settings.src_path} -chat_template: > -"{% chat_template_data['system_instruction'] %}" -"{% for message in messages %}" -"{{message['role']:}} " -"{% if message['role'] == chat_template_data['assistant_role'] %}" -"{{chat_template_data['special_tokens']['b_assistant_token']}}" -"{% endif %}" -"{{ message['content'] + '\n'}}" -"{% if message['role'] == chat_template_data['assistant_role'] %}" -"{{chat_template_data['special_tokens']['e_assistant_token']}}" -"{% endif %}" -"{% endfor %}" -"{% if add_generation_prompt %}" -"{{message['role']:}} " -"{% endif %}" -"{{ eod_token + '\n' }}" +# Note: conversation is data-driven by the input JSONL file under ${settings.src_path} +# Note: "\" is needed by yaml to not add whitespaces! +chat_template: | + {{ chat_template_data['system_instruction'] + '\n' }} + {% for turn in conversation %} + {{ turn['from'] + ': ' }} + {% if turn['from'] == chat_template_data['assistant_role'] %} + {{ chat_template_data['special_tokens']['b_assistant_token'] }} + {% endif %} + {{ turn['value'] + '\n'}} + {% if turn['from'] == chat_template_data['assistant_role'] %} + {{ chat_template_data['special_tokens']['e_assistant_token'] }} + {% endif %} + {% endfor %} + {{ chat_template_data['special_tokens']['eod_token'] }} chat_template_data: - assistant_role: gpt - system_instruction: "Be a helpful assistant and provide a response to the user's message." - add_generation_prompt: False + assistant_role: Assistant + system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." special_tokens: b_assistant_token: e_assistant_token: eod_token: <|endoftext|> + + diff --git a/data/lorem_ipsum_sft.jsonl b/data/lorem_ipsum_sft.jsonl new file mode 100644 index 00000000..028aad59 --- /dev/null +++ b/data/lorem_ipsum_sft.jsonl @@ -0,0 +1,10 @@ +{"id": 0, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}]} +{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}]} +{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}]} +{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}]} +{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}]} +{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}]} +{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}]} +{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} +{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} +{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} diff --git a/src/modalities/__main__.py b/src/modalities/__main__.py index 9303d5d7..b12d67ab 100644 --- a/src/modalities/__main__.py +++ b/src/modalities/__main__.py @@ -19,6 +19,7 @@ PackedDatasetComponentsInstantiationModel, TrainingComponentsInstantiationModel, ) +from modalities.dataloader.apply_chat_template import apply_chat_template from modalities.dataloader.create_index import IndexGenerator from modalities.dataloader.create_packed_data import EmbeddedStreamData, PackedDataGenerator, join_embedded_stream_data from modalities.dataloader.large_file_lines_reader import LargeFileLinesReader @@ -36,6 +37,13 @@ from modalities.trainer import Trainer from modalities.util import compute_number_of_trainable_parameters +config_file_path_option = click.option( + "--config_file_path", + type=click_pathlib.Path(exists=False), + required=True, + help="Path to a file with the YAML config file.", +) + @click.group() def main() -> None: @@ -43,12 +51,7 @@ def main() -> None: @main.command(name="run") -@click.option( - "--config_file_path", - type=click_pathlib.Path(exists=False), - required=True, - help="Path to a file with the YAML config file.", -) +@config_file_path_option def entry_point_run_modalities(config_file_path: Path): main_obj = Main(config_file_path) with CudaEnv(process_group_backend=ProcessGroupBackendType.nccl): @@ -57,23 +60,13 @@ def entry_point_run_modalities(config_file_path: Path): @main.command(name="generate_text") -@click.option( - "--config_file_path", - type=click_pathlib.Path(exists=False), - required=True, - help="Path to a file with the YAML config file.", -) +@config_file_path_option def entry_point_generate_text(config_file_path: FilePath): generate_text(config_file_path) @main.command(name="convert_pytorch_to_hf_checkpoint") -@click.option( - "--config_file_path", - type=click_pathlib.Path(exists=True), - required=True, - help="Path to config of model checkpoint.", -) +@config_file_path_option @click.option( "--output_hf_checkpoint_dir", type=click_pathlib.Path(exists=False), @@ -103,6 +96,15 @@ def data(): pass +@data.command(name="apply_chat_template") +@config_file_path_option +def entry_point_data_apply_chat_template(config_file_path: Path): + """ + Utility for applying a chat template to a jsonl-file using a jinja2 tempalate defined in the config. + """ + apply_chat_template(config_file_path=config_file_path) + + @data.command(name="create_raw_index") @click.argument("src_path", type=Path) @click.option( @@ -129,8 +131,8 @@ def entry_point_data_create_raw_index(src_path, index_path): @data.command(name="pack_encoded_data") -@click.argument("config_path", type=FilePath) -def entry_point_pack_encoded_data(config_path: FilePath): +@config_file_path_option +def entry_point_pack_encoded_data(config_file_path: FilePath): """ Utility to encode an indexed, large jsonl-file. @@ -144,7 +146,7 @@ def entry_point_pack_encoded_data(config_path: FilePath): # One would requires an object of it to instantiate the ResolverRegistry. # This could get resolved by implementing on own ResolverRegistry for each entrypoint or adapting the existing # ResolverRegistry to work dynamically with any type-hinted config object from config.py. - config = load_app_config_dict(config_path) + config = load_app_config_dict(config_file_path) registry = Registry(COMPONENTS) component_factory = ComponentFactory(registry=registry) components: PackedDatasetComponentsInstantiationModel = component_factory.build_components( diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py new file mode 100644 index 00000000..15f0a470 --- /dev/null +++ b/src/modalities/dataloader/apply_chat_template.py @@ -0,0 +1,77 @@ +import json +from pathlib import Path + +import jsonlines +from packaging import version + +from modalities.config.config import load_app_config_dict + +# TODO copy and adapt: src.modalities.dataloader.dataset.MemMapDataset +# -> it reads lerge JSONL files, jq-pattern filters and tokenizes +# -> select what to tokenize and what to loss-mask (we dont need to have the b_assistant_token) + +# Max idea: select what to tokenize and what to loss-mask (we dont need to have the b_assistant_token) then +# have a collate function which applies the chat template +# after collate the input could be too large; packing is more difficult. +# --> collate is after batching; packing would introduce dynamic batch size + + +def apply_chat_template(config_file_path: Path): + config_dict = load_app_config_dict(config_file_path=config_file_path) + instruction_data = _stream_jsonl(config_dict["settings"]["src_path"]) + chat_template = _compile_jinja_template(config_dict["chat_template"].replace("}\n{", "}{")) + conversations_key = config_dict["settings"]["conversations_key"] + role_mapping = config_dict["instruction_data_transformation"]["role_mapping"] + output_file_path = config_dict["settings"]["dst_path"] + with open(output_file_path, "w") as output_file: + for entry in instruction_data: + conversation = entry[conversations_key] + conversation = map_roles(conversation, role_mapping) + chat = chat_template.render(conversation=conversation, chat_template_data=config_dict["chat_template_data"]) + if not all( + special_token in chat for special_token in config_dict["chat_template_data"]["special_tokens"].values() + ): + raise ValueError("Not all special tokens are present in the chat template!") + entry["chat"] = chat + json.dump(entry, output_file) + output_file.write("\n") + + +def map_roles(conversation, role_mapping): + return [{key: role_mapping.get(value, value) for key, value in turn.items()} for turn in conversation] + + +def _stream_jsonl(src_file_path): + with jsonlines.open(src_file_path) as reader: + for obj in reader: + yield obj + + +def _compile_jinja_template(chat_template): + """Code taken from + https://github.com/huggingface/transformers/blob/v4.42.0/src/transformers/tokenization_utils_base.py#L1906 + """ + try: + import jinja2 + from jinja2.exceptions import TemplateError + from jinja2.sandbox import ImmutableSandboxedEnvironment + except ImportError: + raise ImportError("apply_chat_template requires jinja2 to be installed.") + + if version.parse(jinja2.__version__) < version.parse("3.1.0"): + raise ImportError( + "apply_chat_template requires jinja2>=3.1.0 to be installed. Your version is " f"{jinja2.__version__}." + ) + + def raise_exception(message): + raise TemplateError(message) + + def tojson(x, ensure_ascii=False, indent=None, separators=None, sort_keys=False): + # We override the built-in tojson filter because Jinja's default filter escapes HTML characters + # We also expose some options like custom indents and separators + return json.dumps(x, ensure_ascii=ensure_ascii, indent=indent, separators=separators, sort_keys=sort_keys) + + jinja_env = ImmutableSandboxedEnvironment(trim_blocks=True, lstrip_blocks=True) + jinja_env.filters["tojson"] = tojson + jinja_env.globals["raise_exception"] = raise_exception + return jinja_env.from_string(chat_template) From 330314717193afb040961cd54a350614552d8f8a Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 16 Jul 2024 13:27:44 +0200 Subject: [PATCH 05/70] chore: extend to multiple chat templates --- .../apply_chat_template_config.yaml | 27 ++++------- .../default_chat_template.jinja | 12 +++++ src/modalities/config/sft_config.py | 22 +++++++++ .../dataloader/apply_chat_template.py | 45 ++++++++++++------- 4 files changed, 73 insertions(+), 33 deletions(-) create mode 100644 config_files/data_preparation/default_chat_template.jinja create mode 100644 src/modalities/config/sft_config.py diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 36dc7578..691c7bb1 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -2,6 +2,7 @@ settings: src_path: data/lorem_ipsum_sft.jsonl dst_path: data/lorem_ipsum_sft_converted.jsonl conversations_key: 'conversations' + chat_template_key: null instruction_data_transformation: role_mapping: @@ -9,23 +10,15 @@ instruction_data_transformation: human_2: User2 gpt: Assistant -# Note: the b_assistant_token, e_assistant_token and eod_token is required to be part of the chat tempalte for proper loss masking! -# Note: conversation is data-driven by the input JSONL file under ${settings.src_path} -# Note: "\" is needed by yaml to not add whitespaces! -chat_template: | - {{ chat_template_data['system_instruction'] + '\n' }} - {% for turn in conversation %} - {{ turn['from'] + ': ' }} - {% if turn['from'] == chat_template_data['assistant_role'] %} - {{ chat_template_data['special_tokens']['b_assistant_token'] }} - {% endif %} - {{ turn['value'] + '\n'}} - {% if turn['from'] == chat_template_data['assistant_role'] %} - {{ chat_template_data['special_tokens']['e_assistant_token'] }} - {% endif %} - {% endfor %} - {{ chat_template_data['special_tokens']['eod_token'] }} +# The b_assistant_token, e_assistant_token and eod_token are required to be part of each chat template for proper loss masking! +jinja2_chat_template_files: + default: config_files/data_preparation/default_chat_template.jinja + # code: config_files/data_preparation/code_chat_template.jinja + # extraction: config_files/data_preparation/material_chat_template.jinja + # ... +# The key-value pairs of chat_template_data are passed to the Jinja2 template and +# are not type checked for full compliance with the chat tempalate! chat_template_data: assistant_role: Assistant system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." @@ -33,5 +26,3 @@ chat_template_data: b_assistant_token: e_assistant_token: eod_token: <|endoftext|> - - diff --git a/config_files/data_preparation/default_chat_template.jinja b/config_files/data_preparation/default_chat_template.jinja new file mode 100644 index 00000000..7d6a600a --- /dev/null +++ b/config_files/data_preparation/default_chat_template.jinja @@ -0,0 +1,12 @@ +{{ chat_template_data.system_instruction + '\n' }} +{% for turn in conversation %} +{{ turn.from + ': ' }} +{% if turn.from == chat_template_data.assistant_role %} +{{ chat_template_data.special_tokens.b_assistant_token }} +{% endif %} +{{ turn.value + '\n'}} +{% if turn.from == chat_template_data.assistant_role %} +{{ chat_template_data.special_tokens.e_assistant_token }} +{% endif %} +{% endfor %} +{{ chat_template_data.special_tokens.eod_token }} diff --git a/src/modalities/config/sft_config.py b/src/modalities/config/sft_config.py new file mode 100644 index 00000000..277955a6 --- /dev/null +++ b/src/modalities/config/sft_config.py @@ -0,0 +1,22 @@ +from pathlib import Path +from typing import Any, Dict, Optional + +from pydantic import BaseModel, FilePath + + +class Settings(BaseModel): + src_path: FilePath + dst_path: Path + conversations_key: str + chat_template_key: Optional[str] = None + + +class InstructionDataTransformation(BaseModel): + role_mapping: Dict[str, str] + + +class SFTConfig(BaseModel): + settings: Settings + instruction_data_transformation: InstructionDataTransformation + jinja2_chat_template_files: Dict[str, FilePath] + chat_template_data: Dict[str, Any] diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index 15f0a470..54d2e4e4 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -1,10 +1,13 @@ import json from pathlib import Path +from typing import Any, Dict, Generator, List import jsonlines +from jinja2 import Template from packaging import version from modalities.config.config import load_app_config_dict +from modalities.config.sft_config import SFTConfig # TODO copy and adapt: src.modalities.dataloader.dataset.MemMapDataset # -> it reads lerge JSONL files, jq-pattern filters and tokenizes @@ -18,36 +21,48 @@ def apply_chat_template(config_file_path: Path): config_dict = load_app_config_dict(config_file_path=config_file_path) - instruction_data = _stream_jsonl(config_dict["settings"]["src_path"]) - chat_template = _compile_jinja_template(config_dict["chat_template"].replace("}\n{", "}{")) - conversations_key = config_dict["settings"]["conversations_key"] - role_mapping = config_dict["instruction_data_transformation"]["role_mapping"] - output_file_path = config_dict["settings"]["dst_path"] - with open(output_file_path, "w") as output_file: + config = SFTConfig(**config_dict) + instruction_data = _stream_jsonl(config.settings.src_path) + chat_template_key = config.settings.chat_template_key + chat_templates = get_chat_templates(config.jinja2_chat_template_files) + + with open(config.settings.dst_path, "w") as output_file: for entry in instruction_data: - conversation = entry[conversations_key] - conversation = map_roles(conversation, role_mapping) - chat = chat_template.render(conversation=conversation, chat_template_data=config_dict["chat_template_data"]) - if not all( - special_token in chat for special_token in config_dict["chat_template_data"]["special_tokens"].values() - ): + conversation = entry[config.settings.conversations_key] + conversation = map_roles(conversation, config.instruction_data_transformation.role_mapping) + if chat_template_key in entry: + chat_template = chat_templates[chat_template_key] + else: + chat_template = chat_templates["default"] + + chat = chat_template.render(conversation=conversation, chat_template_data=config.chat_template_data) + if not all(special_token in chat for special_token in config.chat_template_data["special_tokens"].values()): raise ValueError("Not all special tokens are present in the chat template!") entry["chat"] = chat json.dump(entry, output_file) output_file.write("\n") -def map_roles(conversation, role_mapping): +def get_chat_templates(jinja2_chat_template_files: Dict[str, str]) -> Dict[str, Template]: + chat_templates = {} + for key, file_path in jinja2_chat_template_files.items(): + with Path(file_path).open() as file: + chat_template = "".join(["".join(line.rsplit("\n", 1)) for line in file.readlines()]) + chat_templates[key] = _compile_jinja_template(chat_template) + return chat_templates + + +def map_roles(conversation: List[Dict[str, Any]], role_mapping: Dict[str, str]) -> List[Dict[str, Any]]: return [{key: role_mapping.get(value, value) for key, value in turn.items()} for turn in conversation] -def _stream_jsonl(src_file_path): +def _stream_jsonl(src_file_path: str) -> Generator[Dict[str, Any], None, None]: with jsonlines.open(src_file_path) as reader: for obj in reader: yield obj -def _compile_jinja_template(chat_template): +def _compile_jinja_template(chat_template: str) -> Template: """Code taken from https://github.com/huggingface/transformers/blob/v4.42.0/src/transformers/tokenization_utils_base.py#L1906 """ From 0c6bbf5e27d984d9f4ab760b0a433e8874413d01 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 16 Jul 2024 13:45:05 +0200 Subject: [PATCH 06/70] fix: data driven chat tempalte key retrieval --- src/modalities/dataloader/apply_chat_template.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index 54d2e4e4..929b5721 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -31,7 +31,7 @@ def apply_chat_template(config_file_path: Path): conversation = entry[config.settings.conversations_key] conversation = map_roles(conversation, config.instruction_data_transformation.role_mapping) if chat_template_key in entry: - chat_template = chat_templates[chat_template_key] + chat_template = chat_templates[entry[chat_template_key]] else: chat_template = chat_templates["default"] From 32f5756114f4e7ffe50e7b2462b160af2159db1e Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 16 Jul 2024 14:11:18 +0200 Subject: [PATCH 07/70] chore: Add 'index' to output JSONL --- .../apply_chat_template_config.yaml | 25 +++++++++++++------ .../default_chat_template.jinja | 12 --------- data/lorem_ipsum_sft_converted.jsonl | 11 ++++++++ src/modalities/config/sft_config.py | 2 +- .../dataloader/apply_chat_template.py | 14 ++++++----- 5 files changed, 37 insertions(+), 27 deletions(-) delete mode 100644 config_files/data_preparation/default_chat_template.jinja create mode 100644 data/lorem_ipsum_sft_converted.jsonl diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 691c7bb1..1b0fc53f 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -10,12 +10,21 @@ instruction_data_transformation: human_2: User2 gpt: Assistant -# The b_assistant_token, e_assistant_token and eod_token are required to be part of each chat template for proper loss masking! -jinja2_chat_template_files: - default: config_files/data_preparation/default_chat_template.jinja - # code: config_files/data_preparation/code_chat_template.jinja - # extraction: config_files/data_preparation/material_chat_template.jinja - # ... +# The b_include_to_loss_token, e_include_to_loss_token and eod_token are required to be part of each chat template for proper loss masking! +jinja2_chat_templates: + default: | + {{ chat_template_data.system_instruction + '\n' }} + {% for turn in conversation %} + {{ turn.from + ': ' }} + {% if turn.from == chat_template_data.assistant_role %} + {{ chat_template_data.special_tokens.b_include_to_loss_token }} + {% endif %} + {{ turn.value + '\n'}} + {% if turn.from == chat_template_data.assistant_role %} + {{ chat_template_data.special_tokens.e_include_to_loss_token }} + {% endif %} + {% endfor %} + {{ chat_template_data.special_tokens.eod_token }} # The key-value pairs of chat_template_data are passed to the Jinja2 template and # are not type checked for full compliance with the chat tempalate! @@ -23,6 +32,6 @@ chat_template_data: assistant_role: Assistant system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." special_tokens: - b_assistant_token: - e_assistant_token: + b_include_to_loss_token: + e_include_to_loss_token: eod_token: <|endoftext|> diff --git a/config_files/data_preparation/default_chat_template.jinja b/config_files/data_preparation/default_chat_template.jinja deleted file mode 100644 index 7d6a600a..00000000 --- a/config_files/data_preparation/default_chat_template.jinja +++ /dev/null @@ -1,12 +0,0 @@ -{{ chat_template_data.system_instruction + '\n' }} -{% for turn in conversation %} -{{ turn.from + ': ' }} -{% if turn.from == chat_template_data.assistant_role %} -{{ chat_template_data.special_tokens.b_assistant_token }} -{% endif %} -{{ turn.value + '\n'}} -{% if turn.from == chat_template_data.assistant_role %} -{{ chat_template_data.special_tokens.e_assistant_token }} -{% endif %} -{% endfor %} -{{ chat_template_data.special_tokens.eod_token }} diff --git a/data/lorem_ipsum_sft_converted.jsonl b/data/lorem_ipsum_sft_converted.jsonl new file mode 100644 index 00000000..22a7e3c6 --- /dev/null +++ b/data/lorem_ipsum_sft_converted.jsonl @@ -0,0 +1,11 @@ +{"assistant_role": "Assistant", "system_instruction": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.", "special_tokens": {"b_include_to_loss_token": "", "e_include_to_loss_token": "", "eod_token": "<|endoftext|>"}} +{"id": 0, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: Hello! How can I help you today?\nUser1: Who are you?\nAssistant: You can call me Mody, and I was trained by the modalities team as a language model.\nUser2: Goodbye\nAssistant: Goodbye! If you have any more questions in the future, don't hesitate to ask.\n<|endoftext|>"} +{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\nUser1: Yes, please.\nAssistant: Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n<|endoftext|>"} +{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: Of course! Give me a topic, and I'll write something for you.\nUser1: Write about the sea.\nAssistant: The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\nUser2: That's beautiful, thanks!\nAssistant: You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n<|endoftext|>"} +{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\nUser1: Yes, please.\nAssistant: You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n<|endoftext|>"} +{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\nUser1: No, but I'd love to visit someday.\nAssistant: It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n<|endoftext|>"} +{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\nUser1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n<|endoftext|>"} +{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n<|endoftext|>"} +{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n<|endoftext|>"} +{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n<|endoftext|>"} +{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n<|endoftext|>"} diff --git a/src/modalities/config/sft_config.py b/src/modalities/config/sft_config.py index 277955a6..8e79a895 100644 --- a/src/modalities/config/sft_config.py +++ b/src/modalities/config/sft_config.py @@ -18,5 +18,5 @@ class InstructionDataTransformation(BaseModel): class SFTConfig(BaseModel): settings: Settings instruction_data_transformation: InstructionDataTransformation - jinja2_chat_template_files: Dict[str, FilePath] + jinja2_chat_templates: Dict[str, str] chat_template_data: Dict[str, Any] diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index 929b5721..83a8deb6 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -24,9 +24,12 @@ def apply_chat_template(config_file_path: Path): config = SFTConfig(**config_dict) instruction_data = _stream_jsonl(config.settings.src_path) chat_template_key = config.settings.chat_template_key - chat_templates = get_chat_templates(config.jinja2_chat_template_files) + chat_templates = get_chat_templates(config.jinja2_chat_templates) with open(config.settings.dst_path, "w") as output_file: + # similar to an index file, put general information about the dataset into the first line of the JSONL + json.dump(config.chat_template_data, output_file) + output_file.write("\n") for entry in instruction_data: conversation = entry[config.settings.conversations_key] conversation = map_roles(conversation, config.instruction_data_transformation.role_mapping) @@ -43,12 +46,11 @@ def apply_chat_template(config_file_path: Path): output_file.write("\n") -def get_chat_templates(jinja2_chat_template_files: Dict[str, str]) -> Dict[str, Template]: +def get_chat_templates(jinja2_chat_templates: Dict[str, str]) -> Dict[str, Template]: chat_templates = {} - for key, file_path in jinja2_chat_template_files.items(): - with Path(file_path).open() as file: - chat_template = "".join(["".join(line.rsplit("\n", 1)) for line in file.readlines()]) - chat_templates[key] = _compile_jinja_template(chat_template) + for key, template_string in jinja2_chat_templates.items(): + chat_template = template_string.replace("}\n{", "}{") + chat_templates[key] = _compile_jinja_template(chat_template) return chat_templates From 482f7afc88b0ff5fa7e62e5a307cb4fcb07a7b50 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 16 Jul 2024 14:21:22 +0200 Subject: [PATCH 08/70] =?UTF-8?q?fix:=20Add=20s=C3=BCecical=20token=20to?= =?UTF-8?q?=20be=20kept=20during=20treinaing=20to=20allow=20for=20early=20?= =?UTF-8?q?stopping=20of=20generation?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- config_files/data_preparation/apply_chat_template_config.yaml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 1b0fc53f..71e4ee9a 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -22,6 +22,7 @@ jinja2_chat_templates: {{ turn.value + '\n'}} {% if turn.from == chat_template_data.assistant_role %} {{ chat_template_data.special_tokens.e_include_to_loss_token }} + {{ chat_template_data.special_tokens.e_assistant_token }} {% endif %} {% endfor %} {{ chat_template_data.special_tokens.eod_token }} @@ -34,4 +35,5 @@ chat_template_data: special_tokens: b_include_to_loss_token: e_include_to_loss_token: + e_assistant_token: eod_token: <|endoftext|> From 1d72770cdda30d61834ce164a7a881698a1ba25b Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 16 Jul 2024 14:22:29 +0200 Subject: [PATCH 09/70] chore: Update output file --- data/lorem_ipsum_sft_converted.jsonl | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/data/lorem_ipsum_sft_converted.jsonl b/data/lorem_ipsum_sft_converted.jsonl index 22a7e3c6..0e45cbf0 100644 --- a/data/lorem_ipsum_sft_converted.jsonl +++ b/data/lorem_ipsum_sft_converted.jsonl @@ -1,11 +1,11 @@ -{"assistant_role": "Assistant", "system_instruction": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.", "special_tokens": {"b_include_to_loss_token": "", "e_include_to_loss_token": "", "eod_token": "<|endoftext|>"}} -{"id": 0, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: Hello! How can I help you today?\nUser1: Who are you?\nAssistant: You can call me Mody, and I was trained by the modalities team as a language model.\nUser2: Goodbye\nAssistant: Goodbye! If you have any more questions in the future, don't hesitate to ask.\n<|endoftext|>"} -{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\nUser1: Yes, please.\nAssistant: Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n<|endoftext|>"} -{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: Of course! Give me a topic, and I'll write something for you.\nUser1: Write about the sea.\nAssistant: The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\nUser2: That's beautiful, thanks!\nAssistant: You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n<|endoftext|>"} -{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\nUser1: Yes, please.\nAssistant: You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n<|endoftext|>"} -{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\nUser1: No, but I'd love to visit someday.\nAssistant: It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n<|endoftext|>"} -{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\nUser1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n<|endoftext|>"} -{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n<|endoftext|>"} -{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n<|endoftext|>"} -{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n<|endoftext|>"} -{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n<|endoftext|>"} +{"assistant_role": "Assistant", "system_instruction": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.", "special_tokens": {"b_include_to_loss_token": "", "e_include_to_loss_token": "", "e_assistant_token": "", "eod_token": "<|endoftext|>"}} +{"id": 0, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: Hello! How can I help you today?\nUser1: Who are you?\nAssistant: You can call me Mody, and I was trained by the modalities team as a language model.\nUser2: Goodbye\nAssistant: Goodbye! If you have any more questions in the future, don't hesitate to ask.\n<|endoftext|>"} +{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\nUser1: Yes, please.\nAssistant: Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n<|endoftext|>"} +{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: Of course! Give me a topic, and I'll write something for you.\nUser1: Write about the sea.\nAssistant: The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\nUser2: That's beautiful, thanks!\nAssistant: You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n<|endoftext|>"} +{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\nUser1: Yes, please.\nAssistant: You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n<|endoftext|>"} +{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\nUser1: No, but I'd love to visit someday.\nAssistant: It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n<|endoftext|>"} +{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\nUser1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n<|endoftext|>"} +{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n<|endoftext|>"} +{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n<|endoftext|>"} +{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n<|endoftext|>"} +{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n<|endoftext|>"} From 0bd9bfa66285bbfc0c6572112e3562810b075891 Mon Sep 17 00:00:00 2001 From: rrutmann Date: Tue, 16 Jul 2024 14:51:05 +0200 Subject: [PATCH 10/70] build: Add jsonlines dependency --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index 280a70ad..3017fc92 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,6 +23,7 @@ dependencies = [ "wandb", "einops>=0.7.0", "flash-attn", # install this directly via `pip install flash-attn --no-build-isolation` + "jsonlines", ] [project.optional-dependencies] From ed2f4ceaa60e244960118ea1f085b3503b4cd27b Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 16 Jul 2024 17:32:07 +0200 Subject: [PATCH 11/70] chore: integration of collator wrapper with loss masking functionality. Unit test still needed. --- config_files/training/config_lorem_ipsum.yaml | 13 +++-- .../models/components/collator_wrapper.py | 51 +++++++++++++++++++ src/modalities/models/gpt2/collator.py | 1 - src/modalities/registry/components.py | 4 ++ 4 files changed, 65 insertions(+), 4 deletions(-) create mode 100644 src/modalities/models/components/collator_wrapper.py diff --git a/config_files/training/config_lorem_ipsum.yaml b/config_files/training/config_lorem_ipsum.yaml index e4251a2f..c0e47231 100644 --- a/config_files/training/config_lorem_ipsum.yaml +++ b/config_files/training/config_lorem_ipsum.yaml @@ -22,10 +22,17 @@ settings: collate_fn: component_key: collate_fn - variant_key: gpt_2_llm_collator + variant_key: mask_loss_collator_wrapper config: - sample_key: ${settings.referencing_keys.sample_key} - target_key: ${settings.referencing_keys.target_key} + collate_fn: + component_key: collate_fn + variant_key: gpt_2_llm_collator + config: + sample_key: ${settings.referencing_keys.sample_key} + target_key: ${settings.referencing_keys.target_key} + target_keys_to_mask: + - ${settings.referencing_keys.target_key} + loss_ignore_index: -100 train_dataset: component_key: dataset diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/models/components/collator_wrapper.py new file mode 100644 index 00000000..01787df2 --- /dev/null +++ b/src/modalities/models/components/collator_wrapper.py @@ -0,0 +1,51 @@ +from typing import Dict, List + +import torch +from pydantic import BaseModel + +from modalities.batch import DatasetBatch +from modalities.config.pydanctic_if_types import PydanticCollateFnIFType +from modalities.models.gpt2.collator import CollateFnIF + + +class LossMaskingCollateFnWrapperConfig(BaseModel): + collate_fn: PydanticCollateFnIFType + target_keys_to_mask: List[str] + loss_ignore_index: int + + +class LossMaskingCollateFnWrapper(CollateFnIF): + def __init__(self, collate_fn: CollateFnIF, target_keys_to_mask: List[str], loss_ignore_index: int): + self.collate_fn = collate_fn + self.target_keys_to_mask = target_keys_to_mask + self.loss_ignore_index = loss_ignore_index + + def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: + dataset_batch = self.collate_fn(batch) + for target_key_to_mask in self.target_keys_to_mask: + target = dataset_batch.targets[target_key_to_mask] + # FIXME: hard coded masked token ids! This should be propageted from the data header information + masked_target = self._mask_target( + target, b_mask_token_id=0, e_mask_token_id=1, loss_ignore_index=self.loss_ignore_index + ) + dataset_batch.targets[target_key_to_mask] = masked_target + return dataset_batch + + def _mask_target( + self, target: torch.Tensor, b_mask_token_id: int, e_mask_token_id: int, loss_ignore_index: int + ) -> torch.Tensor: + # FIXME replace debug target + debug_target = [5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1] + target = torch.Tensor([debug_target, debug_target]) + assert b_mask_token_id != e_mask_token_id, "b_mask_token_id and e_mask_token_id must be different!" + assert b_mask_token_id in target, "b_mask_token_id not found in target" + assert e_mask_token_id in target, "e_mask_token_id not found in target" + mask = torch.zeros_like(target) + mask += torch.where(target != b_mask_token_id, 0, 1) + mask += torch.where(target != e_mask_token_id, 0, -1) + mask = mask.cumsum(-1) + mask = mask.roll(shifts=1, dims=-1) + mask[:, 0] = 0 + new_target = torch.where(mask > 0, target, -100) + # TODO write test for this + return new_target diff --git a/src/modalities/models/gpt2/collator.py b/src/modalities/models/gpt2/collator.py index 0f7ce515..2074a13c 100644 --- a/src/modalities/models/gpt2/collator.py +++ b/src/modalities/models/gpt2/collator.py @@ -21,5 +21,4 @@ def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: sample_tensor = torch.stack([torch.tensor(d[self.sample_key]) for d in batch]) samples = {self.sample_key: sample_tensor[:, :-1]} targets = {self.target_key: sample_tensor[:, 1:]} - return DatasetBatch(targets=targets, samples=samples) diff --git a/src/modalities/registry/components.py b/src/modalities/registry/components.py index c63a2402..86620b14 100644 --- a/src/modalities/registry/components.py +++ b/src/modalities/registry/components.py @@ -60,6 +60,7 @@ from modalities.loss_functions import CLMCrossEntropyLoss from modalities.models.coca.coca_model import CoCa, CoCaConfig from modalities.models.coca.collator import CoCaCollateFnConfig, CoCaCollatorFn +from modalities.models.components.collator_wrapper import LossMaskingCollateFnWrapper, LossMaskingCollateFnWrapperConfig from modalities.models.components.layer_norms import LayerNormConfig, RMSLayerNorm, RMSLayerNormConfig from modalities.models.gpt2.collator import GPT2LLMCollateFn from modalities.models.gpt2.gpt2_model import GPT2LLM, GPT2LLMConfig @@ -167,6 +168,9 @@ class ComponentEntity: # collators ComponentEntity("collate_fn", "gpt_2_llm_collator", GPT2LLMCollateFn, GPT2LLMCollateFnConfig), ComponentEntity("collate_fn", "coca_collator", CoCaCollatorFn, CoCaCollateFnConfig), + ComponentEntity( + "collate_fn", "mask_loss_collator_wrapper", LossMaskingCollateFnWrapper, LossMaskingCollateFnWrapperConfig + ), # data loaders ComponentEntity("data_loader", "default", DataloaderFactory.get_dataloader, LLMDataLoaderConfig), ComponentEntity( From 6e24ea2df7dbb32b93ab98d0a49b32c83c2026f0 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Thu, 18 Jul 2024 14:53:20 +0200 Subject: [PATCH 12/70] chore: Use SFT config replaction with uuid as file pair identification. --- config_files/training/config_lorem_ipsum.yaml | 3 ++ ...dee295b-f73c-4fe1-b573-acb163fe6c73.jsonl} | 1 - ....9dee295b-f73c-4fe1-b573-acb163fe6c73.yaml | 51 +++++++++++++++++++ .../dataloader/apply_chat_template.py | 26 +++++----- .../models/components/collator_wrapper.py | 29 +++++++++-- 5 files changed, 91 insertions(+), 19 deletions(-) rename data/{lorem_ipsum_sft_converted.jsonl => lorem_ipsum_sft_converted.9dee295b-f73c-4fe1-b573-acb163fe6c73.jsonl} (97%) create mode 100644 data/sft_chat_template_config.9dee295b-f73c-4fe1-b573-acb163fe6c73.yaml diff --git a/config_files/training/config_lorem_ipsum.yaml b/config_files/training/config_lorem_ipsum.yaml index c0e47231..06ea6d4a 100644 --- a/config_files/training/config_lorem_ipsum.yaml +++ b/config_files/training/config_lorem_ipsum.yaml @@ -33,6 +33,9 @@ collate_fn: target_keys_to_mask: - ${settings.referencing_keys.target_key} loss_ignore_index: -100 + special_tokens: + b_include_to_loss_token: + e_include_to_loss_token: train_dataset: component_key: dataset diff --git a/data/lorem_ipsum_sft_converted.jsonl b/data/lorem_ipsum_sft_converted.9dee295b-f73c-4fe1-b573-acb163fe6c73.jsonl similarity index 97% rename from data/lorem_ipsum_sft_converted.jsonl rename to data/lorem_ipsum_sft_converted.9dee295b-f73c-4fe1-b573-acb163fe6c73.jsonl index 0e45cbf0..c87712e1 100644 --- a/data/lorem_ipsum_sft_converted.jsonl +++ b/data/lorem_ipsum_sft_converted.9dee295b-f73c-4fe1-b573-acb163fe6c73.jsonl @@ -1,4 +1,3 @@ -{"assistant_role": "Assistant", "system_instruction": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.", "special_tokens": {"b_include_to_loss_token": "", "e_include_to_loss_token": "", "e_assistant_token": "", "eod_token": "<|endoftext|>"}} {"id": 0, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: Hello! How can I help you today?\nUser1: Who are you?\nAssistant: You can call me Mody, and I was trained by the modalities team as a language model.\nUser2: Goodbye\nAssistant: Goodbye! If you have any more questions in the future, don't hesitate to ask.\n<|endoftext|>"} {"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\nUser1: Yes, please.\nAssistant: Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n<|endoftext|>"} {"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: Of course! Give me a topic, and I'll write something for you.\nUser1: Write about the sea.\nAssistant: The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\nUser2: That's beautiful, thanks!\nAssistant: You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n<|endoftext|>"} diff --git a/data/sft_chat_template_config.9dee295b-f73c-4fe1-b573-acb163fe6c73.yaml b/data/sft_chat_template_config.9dee295b-f73c-4fe1-b573-acb163fe6c73.yaml new file mode 100644 index 00000000..bca3cb13 --- /dev/null +++ b/data/sft_chat_template_config.9dee295b-f73c-4fe1-b573-acb163fe6c73.yaml @@ -0,0 +1,51 @@ +chat_template_data: + assistant_role: Assistant + special_tokens: + b_include_to_loss_token: + e_assistant_token: + e_include_to_loss_token: + eod_token: <|endoftext|> + system_instruction: You are Mody, a helpful assistant trained by the modalities + team. Answer friendly and informatively to the user's messages. +instruction_data_transformation: + role_mapping: + gpt: Assistant + human_1: User1 + human_2: User2 +jinja2_chat_templates: + default: '{{ chat_template_data.system_instruction + ''\n'' }} + + {% for turn in conversation %} + + {{ turn.from + '': '' }} + + {% if turn.from == chat_template_data.assistant_role %} + + {{ chat_template_data.special_tokens.b_include_to_loss_token }} + + {% endif %} + + {{ turn.value + ''\n''}} + + {% if turn.from == chat_template_data.assistant_role %} + + {{ chat_template_data.special_tokens.e_include_to_loss_token }} + + {{ chat_template_data.special_tokens.e_assistant_token }} + + {% endif %} + + {% endfor %} + + {{ chat_template_data.special_tokens.eod_token }} + + ' +settings: + chat_template_key: null + conversations_key: conversations + dst_path: !!python/object/apply:pathlib.PosixPath + - data + - lorem_ipsum_sft_converted.jsonl + src_path: !!python/object/apply:pathlib.PosixPath + - data + - lorem_ipsum_sft.jsonl diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index 83a8deb6..144b1446 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -1,23 +1,16 @@ import json +import uuid from pathlib import Path from typing import Any, Dict, Generator, List import jsonlines +import yaml from jinja2 import Template from packaging import version from modalities.config.config import load_app_config_dict from modalities.config.sft_config import SFTConfig -# TODO copy and adapt: src.modalities.dataloader.dataset.MemMapDataset -# -> it reads lerge JSONL files, jq-pattern filters and tokenizes -# -> select what to tokenize and what to loss-mask (we dont need to have the b_assistant_token) - -# Max idea: select what to tokenize and what to loss-mask (we dont need to have the b_assistant_token) then -# have a collate function which applies the chat template -# after collate the input could be too large; packing is more difficult. -# --> collate is after batching; packing would introduce dynamic batch size - def apply_chat_template(config_file_path: Path): config_dict = load_app_config_dict(config_file_path=config_file_path) @@ -26,10 +19,11 @@ def apply_chat_template(config_file_path: Path): chat_template_key = config.settings.chat_template_key chat_templates = get_chat_templates(config.jinja2_chat_templates) - with open(config.settings.dst_path, "w") as output_file: - # similar to an index file, put general information about the dataset into the first line of the JSONL - json.dump(config.chat_template_data, output_file) - output_file.write("\n") + dst_path = Path(config.settings.dst_path) + uuid_str = str(uuid.uuid4()) + store_config_file_with_uuid(config, dst_path, uuid_str) + dst_path_with_uuid = dst_path.with_suffix(f".{uuid_str}" + "".join(dst_path.suffixes)) + with dst_path_with_uuid.open("w") as output_file: for entry in instruction_data: conversation = entry[config.settings.conversations_key] conversation = map_roles(conversation, config.instruction_data_transformation.role_mapping) @@ -46,6 +40,12 @@ def apply_chat_template(config_file_path: Path): output_file.write("\n") +def store_config_file_with_uuid(config: SFTConfig, dst_path: Path, uuid_str: str) -> None: + config_yaml_path = dst_path.parent / f"sft_chat_template_config.{uuid_str}.yaml" + with config_yaml_path.open("w") as config_file: + yaml.dump(config.model_dump(), config_file) + + def get_chat_templates(jinja2_chat_templates: Dict[str, str]) -> Dict[str, Template]: chat_templates = {} for key, template_string in jinja2_chat_templates.items(): diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/models/components/collator_wrapper.py index 01787df2..af55654f 100644 --- a/src/modalities/models/components/collator_wrapper.py +++ b/src/modalities/models/components/collator_wrapper.py @@ -4,29 +4,48 @@ from pydantic import BaseModel from modalities.batch import DatasetBatch -from modalities.config.pydanctic_if_types import PydanticCollateFnIFType +from modalities.config.pydanctic_if_types import PydanticCollateFnIFType, PydanticTokenizerIFType from modalities.models.gpt2.collator import CollateFnIF +from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper + + +class MaskingTokenConfig(BaseModel): + b_include_to_loss_token: str + e_include_to_loss_token: str class LossMaskingCollateFnWrapperConfig(BaseModel): collate_fn: PydanticCollateFnIFType target_keys_to_mask: List[str] loss_ignore_index: int + special_tokens: MaskingTokenConfig + tokenizer: PydanticTokenizerIFType class LossMaskingCollateFnWrapper(CollateFnIF): - def __init__(self, collate_fn: CollateFnIF, target_keys_to_mask: List[str], loss_ignore_index: int): + def __init__( + self, + collate_fn: CollateFnIF, + target_keys_to_mask: List[str], + loss_ignore_index: int, + special_tokens: MaskingTokenConfig, + tokenizer: TokenizerWrapper, + ): self.collate_fn = collate_fn self.target_keys_to_mask = target_keys_to_mask self.loss_ignore_index = loss_ignore_index + self.b_mask_token_id = tokenizer.get_token_id(special_tokens.b_include_to_loss_token) + self.e_mask_token_id = tokenizer.get_token_id(special_tokens.e_include_to_loss_token) def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: dataset_batch = self.collate_fn(batch) for target_key_to_mask in self.target_keys_to_mask: target = dataset_batch.targets[target_key_to_mask] - # FIXME: hard coded masked token ids! This should be propageted from the data header information masked_target = self._mask_target( - target, b_mask_token_id=0, e_mask_token_id=1, loss_ignore_index=self.loss_ignore_index + target=target, + b_mask_token_id=self.b_mask_token_id, + e_mask_token_id=self.e_mask_token_id, + loss_ignore_index=self.loss_ignore_index, ) dataset_batch.targets[target_key_to_mask] = masked_target return dataset_batch @@ -46,6 +65,6 @@ def _mask_target( mask = mask.cumsum(-1) mask = mask.roll(shifts=1, dims=-1) mask[:, 0] = 0 - new_target = torch.where(mask > 0, target, -100) + new_target = torch.where(mask > 0, target, loss_ignore_index) # TODO write test for this return new_target From 6e716b4348cc92a09ea2ff19136fce387b32e40f Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Thu, 18 Jul 2024 16:33:32 +0200 Subject: [PATCH 13/70] chore: Add loss masking test --- .../models/components/collator_wrapper.py | 4 -- tests/test_loss_masking.py | 70 +++++++++++++++++++ 2 files changed, 70 insertions(+), 4 deletions(-) create mode 100644 tests/test_loss_masking.py diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/models/components/collator_wrapper.py index af55654f..ccfa4d7c 100644 --- a/src/modalities/models/components/collator_wrapper.py +++ b/src/modalities/models/components/collator_wrapper.py @@ -53,9 +53,6 @@ def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: def _mask_target( self, target: torch.Tensor, b_mask_token_id: int, e_mask_token_id: int, loss_ignore_index: int ) -> torch.Tensor: - # FIXME replace debug target - debug_target = [5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1] - target = torch.Tensor([debug_target, debug_target]) assert b_mask_token_id != e_mask_token_id, "b_mask_token_id and e_mask_token_id must be different!" assert b_mask_token_id in target, "b_mask_token_id not found in target" assert e_mask_token_id in target, "e_mask_token_id not found in target" @@ -66,5 +63,4 @@ def _mask_target( mask = mask.roll(shifts=1, dims=-1) mask[:, 0] = 0 new_target = torch.where(mask > 0, target, loss_ignore_index) - # TODO write test for this return new_target diff --git a/tests/test_loss_masking.py b/tests/test_loss_masking.py new file mode 100644 index 00000000..7286ef16 --- /dev/null +++ b/tests/test_loss_masking.py @@ -0,0 +1,70 @@ +from unittest.mock import MagicMock + +import pytest +import torch + +from modalities.batch import DatasetBatch +from modalities.models.components.collator_wrapper import ( + LossMaskingCollateFnWrapper, + LossMaskingCollateFnWrapperConfig, + MaskingTokenConfig, +) +from modalities.models.gpt2.collator import GPT2LLMCollateFn +from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper + + +def tokenize(word: str): + vocab = {"begin": 0, "end": 1} + return vocab[word] + + +@pytest.fixture +def dummy_tokenizer(): + mock = MagicMock(spec=TokenizerWrapper) + mock.get_token_id.side_effect = tokenize + return mock + + +@pytest.fixture +def loss_masking_config(dummy_tokenizer) -> LossMaskingCollateFnWrapperConfig: + return dict( + collate_fn=GPT2LLMCollateFn(sample_key="sample", target_key="target"), + target_keys_to_mask=["target"], + loss_ignore_index=-100, + special_tokens=MaskingTokenConfig(b_include_to_loss_token="begin", e_include_to_loss_token="end"), + tokenizer=dummy_tokenizer, + ) + + +# calculating nce_loss for two randomly generated batch of embeddings (manually calculated) +@pytest.mark.parametrize( + "batch,expected_batch", + [ + ( + [ + {"sample": torch.Tensor([5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1])}, + {"sample": torch.Tensor([5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1])}, + ], + # the expected batch is shifted and masked for loss computation! + DatasetBatch( + targets={ + "target": torch.Tensor( + [ + [-100, -100, 5, 5, 1, -100, -100, 5, 1, -100, 1, -100, -100, 1], + [-100, -100, 5, 5, 1, -100, -100, 5, 1, -100, 1, -100, -100, 1], + ] + ) + }, + samples={ + "sample": torch.Tensor( + [[5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0], [5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0]] + ) + }, + ), + ) + ], +) +def test_loss_masking(loss_masking_config, batch, expected_batch): + loss_masking_collator = LossMaskingCollateFnWrapper(**loss_masking_config) + result_batch = loss_masking_collator(batch) + assert torch.equal(result_batch.targets["target"], expected_batch.targets["target"]) From 70dc498185edee529bb3facb566da156fde273d6 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Fri, 19 Jul 2024 10:06:08 +0200 Subject: [PATCH 14/70] fix: copy raw config file for truly original content --- ...4a5f855-7b1b-496c-82fd-747d5044d496.jsonl} | 0 ....64a5f855-7b1b-496c-82fd-747d5044d496.yaml | 39 ++++++++++++++ ....9dee295b-f73c-4fe1-b573-acb163fe6c73.yaml | 51 ------------------- .../dataloader/apply_chat_template.py | 11 ++-- 4 files changed, 44 insertions(+), 57 deletions(-) rename data/{lorem_ipsum_sft_converted.9dee295b-f73c-4fe1-b573-acb163fe6c73.jsonl => lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.jsonl} (100%) create mode 100644 data/sft_chat_template_config.64a5f855-7b1b-496c-82fd-747d5044d496.yaml delete mode 100644 data/sft_chat_template_config.9dee295b-f73c-4fe1-b573-acb163fe6c73.yaml diff --git a/data/lorem_ipsum_sft_converted.9dee295b-f73c-4fe1-b573-acb163fe6c73.jsonl b/data/lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.jsonl similarity index 100% rename from data/lorem_ipsum_sft_converted.9dee295b-f73c-4fe1-b573-acb163fe6c73.jsonl rename to data/lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.jsonl diff --git a/data/sft_chat_template_config.64a5f855-7b1b-496c-82fd-747d5044d496.yaml b/data/sft_chat_template_config.64a5f855-7b1b-496c-82fd-747d5044d496.yaml new file mode 100644 index 00000000..71e4ee9a --- /dev/null +++ b/data/sft_chat_template_config.64a5f855-7b1b-496c-82fd-747d5044d496.yaml @@ -0,0 +1,39 @@ +settings: + src_path: data/lorem_ipsum_sft.jsonl + dst_path: data/lorem_ipsum_sft_converted.jsonl + conversations_key: 'conversations' + chat_template_key: null + +instruction_data_transformation: + role_mapping: + human_1: User1 + human_2: User2 + gpt: Assistant + +# The b_include_to_loss_token, e_include_to_loss_token and eod_token are required to be part of each chat template for proper loss masking! +jinja2_chat_templates: + default: | + {{ chat_template_data.system_instruction + '\n' }} + {% for turn in conversation %} + {{ turn.from + ': ' }} + {% if turn.from == chat_template_data.assistant_role %} + {{ chat_template_data.special_tokens.b_include_to_loss_token }} + {% endif %} + {{ turn.value + '\n'}} + {% if turn.from == chat_template_data.assistant_role %} + {{ chat_template_data.special_tokens.e_include_to_loss_token }} + {{ chat_template_data.special_tokens.e_assistant_token }} + {% endif %} + {% endfor %} + {{ chat_template_data.special_tokens.eod_token }} + +# The key-value pairs of chat_template_data are passed to the Jinja2 template and +# are not type checked for full compliance with the chat tempalate! +chat_template_data: + assistant_role: Assistant + system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." + special_tokens: + b_include_to_loss_token: + e_include_to_loss_token: + e_assistant_token: + eod_token: <|endoftext|> diff --git a/data/sft_chat_template_config.9dee295b-f73c-4fe1-b573-acb163fe6c73.yaml b/data/sft_chat_template_config.9dee295b-f73c-4fe1-b573-acb163fe6c73.yaml deleted file mode 100644 index bca3cb13..00000000 --- a/data/sft_chat_template_config.9dee295b-f73c-4fe1-b573-acb163fe6c73.yaml +++ /dev/null @@ -1,51 +0,0 @@ -chat_template_data: - assistant_role: Assistant - special_tokens: - b_include_to_loss_token: - e_assistant_token: - e_include_to_loss_token: - eod_token: <|endoftext|> - system_instruction: You are Mody, a helpful assistant trained by the modalities - team. Answer friendly and informatively to the user's messages. -instruction_data_transformation: - role_mapping: - gpt: Assistant - human_1: User1 - human_2: User2 -jinja2_chat_templates: - default: '{{ chat_template_data.system_instruction + ''\n'' }} - - {% for turn in conversation %} - - {{ turn.from + '': '' }} - - {% if turn.from == chat_template_data.assistant_role %} - - {{ chat_template_data.special_tokens.b_include_to_loss_token }} - - {% endif %} - - {{ turn.value + ''\n''}} - - {% if turn.from == chat_template_data.assistant_role %} - - {{ chat_template_data.special_tokens.e_include_to_loss_token }} - - {{ chat_template_data.special_tokens.e_assistant_token }} - - {% endif %} - - {% endfor %} - - {{ chat_template_data.special_tokens.eod_token }} - - ' -settings: - chat_template_key: null - conversations_key: conversations - dst_path: !!python/object/apply:pathlib.PosixPath - - data - - lorem_ipsum_sft_converted.jsonl - src_path: !!python/object/apply:pathlib.PosixPath - - data - - lorem_ipsum_sft.jsonl diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index 144b1446..d9209a9a 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -1,10 +1,10 @@ import json +import shutil import uuid from pathlib import Path from typing import Any, Dict, Generator, List import jsonlines -import yaml from jinja2 import Template from packaging import version @@ -21,7 +21,7 @@ def apply_chat_template(config_file_path: Path): dst_path = Path(config.settings.dst_path) uuid_str = str(uuid.uuid4()) - store_config_file_with_uuid(config, dst_path, uuid_str) + store_config_file_with_uuid(config_file_path, dst_path, uuid_str) dst_path_with_uuid = dst_path.with_suffix(f".{uuid_str}" + "".join(dst_path.suffixes)) with dst_path_with_uuid.open("w") as output_file: for entry in instruction_data: @@ -40,10 +40,9 @@ def apply_chat_template(config_file_path: Path): output_file.write("\n") -def store_config_file_with_uuid(config: SFTConfig, dst_path: Path, uuid_str: str) -> None: - config_yaml_path = dst_path.parent / f"sft_chat_template_config.{uuid_str}.yaml" - with config_yaml_path.open("w") as config_file: - yaml.dump(config.model_dump(), config_file) +def store_config_file_with_uuid(config_file_path: Path, dst_path: Path, uuid_str: str) -> None: + out_config_file_path = dst_path.parent / f"sft_chat_template_config.{uuid_str}.yaml" + shutil.copyfile(config_file_path, out_config_file_path) def get_chat_templates(jinja2_chat_templates: Dict[str, str]) -> Dict[str, Template]: From 242e429936f580bb9f4a1c3adec29d31995d8dff Mon Sep 17 00:00:00 2001 From: Shangrui Nie Date: Mon, 22 Jul 2024 10:46:23 +0200 Subject: [PATCH 15/70] chore: add pbin file for testing loss masking --- ...ted.64a5f855-7b1b-496c-82fd-747d5044d496.pbin | Bin 0 -> 2949 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 data/lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.pbin diff --git a/data/lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.pbin b/data/lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.pbin new file mode 100644 index 0000000000000000000000000000000000000000..52c50af065c20e888d1742194a34644e1fea4172 GIT binary patch literal 2949 zcmcguYitx%6u#%q%$@DtoxXOv-EL>6b!c^q0@6|<6$=Q(F1rh5({30ZEdp%~fkY4t zu^4Nh;HEwR%gdmGCZdTL5>(LeNDKiIswpoMi-8ynHHsvd2m}-AxgE&vlKvpP_Q%|v zbNAeH&Ue1^?bSIM_)vVdvJRLIjWQFoc5+HAlC8Sa5hAPlx3zn+}?*6XTlAaOc zao6_j^>l!Ro~eGVtQ(r8tGBW-(SJFlW-}iE`dr^TMf}wBaxjw*cBP)=2(s~n{3%(m z6B?*O+nhz1{VA1`Nz%`-)Y9P!)|Pro-Ql{!_k%>EVo7zSAJO!RewoTi0yYern#0M3 z(c59)jJRS#S3n21biiu6xJ~d z&T9buv2+}2JpVF6dMmGD2g5oiqPHK*=e4792w9MxgUyeNVUsc_%S*4i2Q7l9dHEUg ztJ^r?^n}v{uZxqoeEm=oRhP@hQ~Q!aIw~acC0O#JMfs@m z;Q19+V_4frUxeE8lw?AXMCHxUi!nDjrpYd{DkH97<%n=M_^=;`s18B-8eEnE{o^zN zm$+cvWSq{sWt*5xE{*g>OCq#?tVVLA1l0H=^qjArBtF%llkQPQ`ofwCYD+qv_d8cY zVHiww8Ia>n=Ty%vYc(7}MH0+jq=sNK?L{SP$1Wqs92z0T7QD~Gbiu%6rmBX}uNAkD z(pb5w!z->!^V9i8F5bP<_$QkEewH{(%(n|O1BRHv6S4#GKxCLNm zmWG;r5@&9uG+6Je&~E>FA!G12H4yuDx&T$wgi5!|6e?;cX9u)1nbENf8>Jfsb|1zt z9rg`juthbIdBSVkP>=pFc=3-s5qq-U0g#}5t~>dWzFQ4C1hk4GP9CFcX$|bvL^XY= z9VT)cV71$T((DNRFO!oRzp(bXPUPDawb28p*#WHyPWzV)ORvP%t6-r8Aw2JoI~41- zVnklBbL@r+?AxMQLV1(A(dK-3x*_JrMq;+JHg9l@#E!scRSv*czgCk_`35<>-+o+=%|HaNZ=1B|+o$Kh7clXb*dGuG-gxqfe5&COj z$)W@@W{oEmwN830-+VVSrg z)x&Q&ICYu#g3_C7MeG9P)aUNWh>W<2x^lf##JGEm+U1Qg`=(6hbOpmC>V!32_=qyG uX4B|Qu`ZOt*KwIA4=gj4XtA)q#-c&7exlm%KRBYJ#ryS)XbG;(!~X~R_Hu^+ literal 0 HcmV?d00001 From bddcf8b2254aec874eb85e23cd4fa7e6c84fe23a Mon Sep 17 00:00:00 2001 From: Shangrui Nie Date: Mon, 22 Jul 2024 11:37:37 +0200 Subject: [PATCH 16/70] chore: add pbin file with more data for testing loss masking --- ...ta.64a5f855-7b1b-496c-82fd-747d5044d496.pbin | Bin 0 -> 11715 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 data/lorem_ipsum_sft_converted_more_data.64a5f855-7b1b-496c-82fd-747d5044d496.pbin diff --git a/data/lorem_ipsum_sft_converted_more_data.64a5f855-7b1b-496c-82fd-747d5044d496.pbin b/data/lorem_ipsum_sft_converted_more_data.64a5f855-7b1b-496c-82fd-747d5044d496.pbin new file mode 100644 index 0000000000000000000000000000000000000000..30705100e0d69f436e382831c27b2f1da2b0e560 GIT binary patch literal 11715 zcmeHNYfMx}6rMBp?%ieYUS7K_%d&gHE9l}|5Tn#mUs%@NRonn^eSlTb#%Q8ejVZRJ z@l|3UY7rl?t=govNj0XnY8%C*F=`?;_-ayYG>wfktu?Vp)!0OOW(Tq?A=LW%HT>A& z&M@E1eCM09hjY);K_vP^@pGZF9;QK+tP+3|-dRSeu?H0RRvNb?U)D&|?5ZpSrY0ZH z@nEk*4Z~!YMoyC>`N<@M1kA^jgD$>LMS z67stgf&EZHO|;gUg}c9GR>?%^M_3;5z#TkWSCq0-Wv8Bmi7Hb>D$D(t#-He?DJrRl zt%IkesN}}TJ#cJ#rOAK>uLtbX14lh#9bXnM}MBusx&>oKGp~UgGLP%@jU9@1pqY`G@Pvq;`8QG62h~ER($IXC27064A zKXnWCFrB8QC&;UIt3;(2tOhu3Dyfugiz*6g(aM9TgrUMb3`&Qn0ns1!<#nS>NUNIsVvfjQab zxcivSsxwt`Q$AyQ`uYl(!+5sgt{~<2DW(J;3CY``71wOEOqFe9Z9=69PmT;XgA46( zl6t@=--FvS;QUHj54TjNx=DCDA60GaW~$O~S12b)+s9}mMXHAqcaUClm6Q5UJ+O%$ zHVtz=ac5snOg2w~%MhTcbNp~PPa{{XN6qCB z27?yb-x#WrV)Gh_KL-{7>`&6rXJ5oSw?^v8_C?sw|9X+4z@Jn{?(67$^r8k7+HD5& zqPpp7)OW^qbT)yr^dN)VVYK3bV|^9aVKz{CY}W1p4$rgD#b5FSw8<6=Ks{}%+PSb|I!$55Vth4Kon;fM7B&wvu&3fBx7t;BOYUv5|*$_z~~7ZXT=CV+3F3du)aRwAVP`3-h|I1{t1rD;8L z#6}oDYf}IY=C4K{`(7GjY7_M-JEM0g%l#IfjNP(Y%Iy1)I_VOZAGX>WE$DMn4cNQ) zad`P)+GvvwPTFoNhS7>2fBPY6sbnLs40-UZ%EbN&fKE^mYhiapi8vGW!W|=D~ zkZIjaC%=DuI@i%3N#jz#@doM7-ersHQ861FU0K^i&!+1z5@Uc_);pf0G?~clW?NVivKnh>b;T+*|fa#Kyg6_d59zvGM=OiFUFk zVq=jv?mdGpVq*~-o2bYei@Y&^J0|kRB5%yzp^Ch5@A-6*H;%n)dbBqXB5%whjsJR2 zBl5<)Mnlw8h?)vfQz2?9L`{XLsfbm2v~*MwbXHu5nhH@<(Q{R3X9iT{jYZx#_MZyN zZq&)!#sDurp55RJkdPHNG~h=_VQn%E&0y^!DR3W~xpK6bVG3ol-q)3okG1>E{P}xJ zXe4{SpAgDntw-f({cIde2t literal 0 HcmV?d00001 From f86b6ed65980f1b772715160fe762ae58648d7d6 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 22 Jul 2024 12:07:24 +0200 Subject: [PATCH 17/70] chore: use a hash not uuid for showing which config belongs to whoch data. Change symbol for special tokens, which are actaully a single token within the vocab. --- .../apply_chat_template_config.yaml | 12 ++--- config_files/training/config_lorem_ipsum.yaml | 15 +++++- data/lorem_ipsum_sft.jsonl | 40 ++++++++++++++ ...64a5f855-7b1b-496c-82fd-747d5044d496.jsonl | 10 ---- ....64a5f855-7b1b-496c-82fd-747d5044d496.pbin | Bin 2949 -> 0 bytes data/lorem_ipsum_sft_converted.d267ec3.jsonl | 50 ++++++++++++++++++ ....64a5f855-7b1b-496c-82fd-747d5044d496.pbin | Bin 11715 -> 0 bytes ... => sft_chat_template_config.d267ec3.yaml} | 12 ++--- .../dataloader/apply_chat_template.py | 21 ++++++-- .../models/components/collator_wrapper.py | 5 +- 10 files changed, 134 insertions(+), 31 deletions(-) delete mode 100644 data/lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.jsonl delete mode 100644 data/lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.pbin create mode 100644 data/lorem_ipsum_sft_converted.d267ec3.jsonl delete mode 100644 data/lorem_ipsum_sft_converted_more_data.64a5f855-7b1b-496c-82fd-747d5044d496.pbin rename data/{sft_chat_template_config.64a5f855-7b1b-496c-82fd-747d5044d496.yaml => sft_chat_template_config.d267ec3.yaml} (83%) diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 71e4ee9a..bf9d05f2 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -17,12 +17,12 @@ jinja2_chat_templates: {% for turn in conversation %} {{ turn.from + ': ' }} {% if turn.from == chat_template_data.assistant_role %} - {{ chat_template_data.special_tokens.b_include_to_loss_token }} + {{ chat_template_data.special_tokens.b_include_to_loss_token + " "}} {% endif %} {{ turn.value + '\n'}} {% if turn.from == chat_template_data.assistant_role %} - {{ chat_template_data.special_tokens.e_include_to_loss_token }} - {{ chat_template_data.special_tokens.e_assistant_token }} + {{ " " + chat_template_data.special_tokens.e_include_to_loss_token + " "}} + {{ chat_template_data.special_tokens.e_assistant_token + " "}} {% endif %} {% endfor %} {{ chat_template_data.special_tokens.eod_token }} @@ -33,7 +33,7 @@ chat_template_data: assistant_role: Assistant system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." special_tokens: - b_include_to_loss_token: - e_include_to_loss_token: - e_assistant_token: + b_include_to_loss_token: ^ + e_include_to_loss_token: $ + e_assistant_token: ° eod_token: <|endoftext|> diff --git a/config_files/training/config_lorem_ipsum.yaml b/config_files/training/config_lorem_ipsum.yaml index 62988ee3..2dbc6413 100644 --- a/config_files/training/config_lorem_ipsum.yaml +++ b/config_files/training/config_lorem_ipsum.yaml @@ -36,12 +36,15 @@ collate_fn: special_tokens: b_include_to_loss_token: e_include_to_loss_token: + tokenizer: + instance_key: tokenizer + pass_type: BY_REFERENCE train_dataset: component_key: dataset variant_key: packed_mem_map_dataset_continuous config: - raw_data_path: ./data/lorem_ipsum.pbin + raw_data_path: ./data/lorem_ipsum_sft_converted_more_data.64a5f855-7b1b-496c-82fd-747d5044d496.pbin sequence_length: ${settings.training.sequence_length} sample_key: ${settings.referencing_keys.sample_key} @@ -252,6 +255,14 @@ model_raw: bias: true epsilon: 1e-5 +tokenizer: + component_key: tokenizer + variant_key: pretrained_hf_tokenizer + config: + pretrained_model_name_or_path: data/tokenizer/hf_gpt2 + padding: false + truncation: false + scheduler: component_key: scheduler variant_key: onecycle_lr @@ -316,7 +327,7 @@ evaluation_subscriber: config: global_rank: ${settings.cuda_env.global_rank} project: modalities_lorem_ipsum - mode: ONLINE + mode: OFFLINE experiment_id: ${settings.experiment_id} directory: "." config_file_path: ${settings.config_file_path} diff --git a/data/lorem_ipsum_sft.jsonl b/data/lorem_ipsum_sft.jsonl index 028aad59..7c2a3211 100644 --- a/data/lorem_ipsum_sft.jsonl +++ b/data/lorem_ipsum_sft.jsonl @@ -8,3 +8,43 @@ {"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} {"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} {"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} +{"id": 10, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}]} +{"id": 11, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}]} +{"id": 12, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}]} +{"id": 13, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}]} +{"id": 14, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}]} +{"id": 15, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}]} +{"id": 16, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}]} +{"id": 17, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} +{"id": 18, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} +{"id": 19, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} +{"id": 20, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}]} +{"id": 21, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}]} +{"id": 22, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}]} +{"id": 23, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}]} +{"id": 24, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}]} +{"id": 25, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}]} +{"id": 26, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}]} +{"id": 27, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} +{"id": 28, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} +{"id": 29, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} +{"id": 30, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}]} +{"id": 31, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}]} +{"id": 32, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}]} +{"id": 33, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}]} +{"id": 34, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}]} +{"id": 35, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}]} +{"id": 36, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}]} +{"id": 37, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} +{"id": 38, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} +{"id": 39, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} +{"id": 40, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}]} +{"id": 41, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}]} +{"id": 42, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}]} +{"id": 43, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}]} +{"id": 44, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}]} +{"id": 45, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}]} +{"id": 46, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}]} +{"id": 47, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} +{"id": 48, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} +{"id": 49, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} diff --git a/data/lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.jsonl b/data/lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.jsonl deleted file mode 100644 index c87712e1..00000000 --- a/data/lorem_ipsum_sft_converted.64a5f855-7b1b-496c-82fd-747d5044d496.jsonl +++ /dev/null @@ -1,10 +0,0 @@ -{"id": 0, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: Hello! How can I help you today?\nUser1: Who are you?\nAssistant: You can call me Mody, and I was trained by the modalities team as a language model.\nUser2: Goodbye\nAssistant: Goodbye! If you have any more questions in the future, don't hesitate to ask.\n<|endoftext|>"} -{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\nUser1: Yes, please.\nAssistant: Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n<|endoftext|>"} -{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: Of course! Give me a topic, and I'll write something for you.\nUser1: Write about the sea.\nAssistant: The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\nUser2: That's beautiful, thanks!\nAssistant: You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n<|endoftext|>"} -{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\nUser1: Yes, please.\nAssistant: You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n<|endoftext|>"} -{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\nUser1: No, but I'd love to visit someday.\nAssistant: It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n<|endoftext|>"} -{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\nUser1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n<|endoftext|>"} -{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n<|endoftext|>"} -{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n<|endoftext|>"} -{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n<|endoftext|>"} -{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\nUser1: Thank you for the advice.\nAssistant: You're welcome! Saving money is an important skill that can help you achieve your financial goals. 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How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: ^ Hello! How can I help you today?\n $ \u00b0 User1: Who are you?\nAssistant: ^ You can call me Mody, and I was trained by the modalities team as a language model.\n $ \u00b0 User2: Goodbye\nAssistant: ^ Goodbye! If you have any more questions in the future, don't hesitate to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: ^ AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n $ \u00b0 <|endoftext|>"} +{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: ^ Of course! Give me a topic, and I'll write something for you.\n $ \u00b0 User1: Write about the sea.\nAssistant: ^ The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n $ \u00b0 User2: That's beautiful, thanks!\nAssistant: ^ You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: ^ I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n $ \u00b0 <|endoftext|>"} +{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: ^ The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n $ \u00b0 User1: No, but I'd love to visit someday.\nAssistant: ^ It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n $ \u00b0 <|endoftext|>"} +{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: ^ The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n $ \u00b0 User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: ^ That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n $ \u00b0 <|endoftext|>"} +{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: ^ The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: ^ The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: ^ The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: ^ The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 10, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: ^ Hello! How can I help you today?\n $ \u00b0 User1: Who are you?\nAssistant: ^ You can call me Mody, and I was trained by the modalities team as a language model.\n $ \u00b0 User2: Goodbye\nAssistant: ^ Goodbye! If you have any more questions in the future, don't hesitate to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 11, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: ^ AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n $ \u00b0 <|endoftext|>"} +{"id": 12, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: ^ Of course! Give me a topic, and I'll write something for you.\n $ \u00b0 User1: Write about the sea.\nAssistant: ^ The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n $ \u00b0 User2: That's beautiful, thanks!\nAssistant: ^ You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 13, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: ^ I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n $ \u00b0 <|endoftext|>"} +{"id": 14, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: ^ The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n $ \u00b0 User1: No, but I'd love to visit someday.\nAssistant: ^ It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n $ \u00b0 <|endoftext|>"} +{"id": 15, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: ^ The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n $ \u00b0 User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: ^ That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n $ \u00b0 <|endoftext|>"} +{"id": 16, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: ^ The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 17, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: ^ The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 18, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: ^ The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 19, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: ^ The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 20, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: ^ Hello! How can I help you today?\n $ \u00b0 User1: Who are you?\nAssistant: ^ You can call me Mody, and I was trained by the modalities team as a language model.\n $ \u00b0 User2: Goodbye\nAssistant: ^ Goodbye! If you have any more questions in the future, don't hesitate to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 21, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: ^ AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n $ \u00b0 <|endoftext|>"} +{"id": 22, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: ^ Of course! Give me a topic, and I'll write something for you.\n $ \u00b0 User1: Write about the sea.\nAssistant: ^ The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n $ \u00b0 User2: That's beautiful, thanks!\nAssistant: ^ You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 23, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: ^ I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n $ \u00b0 <|endoftext|>"} +{"id": 24, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: ^ The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n $ \u00b0 User1: No, but I'd love to visit someday.\nAssistant: ^ It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n $ \u00b0 <|endoftext|>"} +{"id": 25, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: ^ The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n $ \u00b0 User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: ^ That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n $ \u00b0 <|endoftext|>"} +{"id": 26, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: ^ The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 27, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: ^ The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 28, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: ^ The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 29, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: ^ The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 30, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: ^ Hello! How can I help you today?\n $ \u00b0 User1: Who are you?\nAssistant: ^ You can call me Mody, and I was trained by the modalities team as a language model.\n $ \u00b0 User2: Goodbye\nAssistant: ^ Goodbye! If you have any more questions in the future, don't hesitate to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 31, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: ^ AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n $ \u00b0 <|endoftext|>"} +{"id": 32, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: ^ Of course! Give me a topic, and I'll write something for you.\n $ \u00b0 User1: Write about the sea.\nAssistant: ^ The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n $ \u00b0 User2: That's beautiful, thanks!\nAssistant: ^ You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 33, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: ^ I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n $ \u00b0 <|endoftext|>"} +{"id": 34, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: ^ The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n $ \u00b0 User1: No, but I'd love to visit someday.\nAssistant: ^ It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n $ \u00b0 <|endoftext|>"} +{"id": 35, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: ^ The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n $ \u00b0 User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: ^ That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n $ \u00b0 <|endoftext|>"} +{"id": 36, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: ^ The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 37, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: ^ The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 38, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: ^ The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 39, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: ^ The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 40, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: ^ Hello! How can I help you today?\n $ \u00b0 User1: Who are you?\nAssistant: ^ You can call me Mody, and I was trained by the modalities team as a language model.\n $ \u00b0 User2: Goodbye\nAssistant: ^ Goodbye! If you have any more questions in the future, don't hesitate to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 41, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: ^ AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n $ \u00b0 <|endoftext|>"} +{"id": 42, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: ^ Of course! Give me a topic, and I'll write something for you.\n $ \u00b0 User1: Write about the sea.\nAssistant: ^ The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n $ \u00b0 User2: That's beautiful, thanks!\nAssistant: ^ You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 43, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: ^ I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n $ \u00b0 <|endoftext|>"} +{"id": 44, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: ^ The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n $ \u00b0 User1: No, but I'd love to visit someday.\nAssistant: ^ It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n $ \u00b0 <|endoftext|>"} +{"id": 45, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: ^ The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n $ \u00b0 User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: ^ That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n $ \u00b0 <|endoftext|>"} +{"id": 46, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: ^ The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 47, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: ^ The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 48, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: ^ The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 49, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: ^ The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} diff --git a/data/lorem_ipsum_sft_converted_more_data.64a5f855-7b1b-496c-82fd-747d5044d496.pbin b/data/lorem_ipsum_sft_converted_more_data.64a5f855-7b1b-496c-82fd-747d5044d496.pbin deleted file mode 100644 index 30705100e0d69f436e382831c27b2f1da2b0e560..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 11715 zcmeHNYfMx}6rMBp?%ieYUS7K_%d&gHE9l}|5Tn#mUs%@NRonn^eSlTb#%Q8ejVZRJ z@l|3UY7rl?t=govNj0XnY8%C*F=`?;_-ayYG>wfktu?Vp)!0OOW(Tq?A=LW%HT>A& z&M@E1eCM09hjY);K_vP^@pGZF9;QK+tP+3|-dRSeu?H0RRvNb?U)D&|?5ZpSrY0ZH z@nEk*4Z~!YMoyC>`N<@M1kA^jgD$>LMS z67stgf&EZHO|;gUg}c9GR>?%^M_3;5z#TkWSCq0-Wv8Bmi7Hb>D$D(t#-He?DJrRl zt%IkesN}}TJ#cJ#rOAK>uLtbX14lh#9bXnM}MBusx&>oKGp~UgGLP%@jU9@1pqY`G@Pvq;`8QG62h~ER($IXC27064A zKXnWCFrB8QC&;UIt3;(2tOhu3Dyfugiz*6g(aM9TgrUMb3`&Qn0ns1!<#nS>NUNIsVvfjQab zxcivSsxwt`Q$AyQ`uYl(!+5sgt{~<2DW(J;3CY``71wOEOqFe9Z9=69PmT;XgA46( zl6t@=--FvS;QUHj54TjNx=DCDA60GaW~$O~S12b)+s9}mMXHAqcaUClm6Q5UJ+O%$ zHVtz=ac5snOg2w~%MhTcbNp~PPa{{XN6qCB z27?yb-x#WrV)Gh_KL-{7>`&6rXJ5oSw?^v8_C?sw|9X+4z@Jn{?(67$^r8k7+HD5& zqPpp7)OW^qbT)yr^dN)VVYK3bV|^9aVKz{CY}W1p4$rgD#b5FSw8<6=Ks{}%+PSb|I!$55Vth4Kon;fM7B&wvu&3fBx7t;BOYUv5|*$_z~~7ZXT=CV+3F3du)aRwAVP`3-h|I1{t1rD;8L z#6}oDYf}IY=C4K{`(7GjY7_M-JEM0g%l#IfjNP(Y%Iy1)I_VOZAGX>WE$DMn4cNQ) zad`P)+GvvwPTFoNhS7>2fBPY6sbnLs40-UZ%EbN&fKE^mYhiapi8vGW!W|=D~ zkZIjaC%=DuI@i%3N#jz#@doM7-ersHQ861FU0K^i&!+1z5@Uc_);pf0G?~clW?NVivKnh>b;T+*|fa#Kyg6_d59zvGM=OiFUFk zVq=jv?mdGpVq*~-o2bYei@Y&^J0|kRB5%yzp^Ch5@A-6*H;%n)dbBqXB5%whjsJR2 zBl5<)Mnlw8h?)vfQz2?9L`{XLsfbm2v~*MwbXHu5nhH@<(Q{R3X9iT{jYZx#_MZyN zZq&)!#sDurp55RJkdPHNG~h=_VQn%E&0y^!DR3W~xpK6bVG3ol-q)3okG1>E{P}xJ zXe4{SpAgDntw-f({cIde2t diff --git a/data/sft_chat_template_config.64a5f855-7b1b-496c-82fd-747d5044d496.yaml b/data/sft_chat_template_config.d267ec3.yaml similarity index 83% rename from data/sft_chat_template_config.64a5f855-7b1b-496c-82fd-747d5044d496.yaml rename to data/sft_chat_template_config.d267ec3.yaml index 71e4ee9a..bf9d05f2 100644 --- a/data/sft_chat_template_config.64a5f855-7b1b-496c-82fd-747d5044d496.yaml +++ b/data/sft_chat_template_config.d267ec3.yaml @@ -17,12 +17,12 @@ jinja2_chat_templates: {% for turn in conversation %} {{ turn.from + ': ' }} {% if turn.from == chat_template_data.assistant_role %} - {{ chat_template_data.special_tokens.b_include_to_loss_token }} + {{ chat_template_data.special_tokens.b_include_to_loss_token + " "}} {% endif %} {{ turn.value + '\n'}} {% if turn.from == chat_template_data.assistant_role %} - {{ chat_template_data.special_tokens.e_include_to_loss_token }} - {{ chat_template_data.special_tokens.e_assistant_token }} + {{ " " + chat_template_data.special_tokens.e_include_to_loss_token + " "}} + {{ chat_template_data.special_tokens.e_assistant_token + " "}} {% endif %} {% endfor %} {{ chat_template_data.special_tokens.eod_token }} @@ -33,7 +33,7 @@ chat_template_data: assistant_role: Assistant system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." special_tokens: - b_include_to_loss_token: - e_include_to_loss_token: - e_assistant_token: + b_include_to_loss_token: ^ + e_include_to_loss_token: $ + e_assistant_token: ° eod_token: <|endoftext|> diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index d9209a9a..bb29b70e 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -1,6 +1,6 @@ +import hashlib import json import shutil -import uuid from pathlib import Path from typing import Any, Dict, Generator, List @@ -20,9 +20,10 @@ def apply_chat_template(config_file_path: Path): chat_templates = get_chat_templates(config.jinja2_chat_templates) dst_path = Path(config.settings.dst_path) - uuid_str = str(uuid.uuid4()) - store_config_file_with_uuid(config_file_path, dst_path, uuid_str) - dst_path_with_uuid = dst_path.with_suffix(f".{uuid_str}" + "".join(dst_path.suffixes)) + # similar to github only use the first 7 characters of the hash for readability + hash_str = hash_sum_file_sha256(config_file_path)[:7] + store_config_file_with_hash(config_file_path, dst_path, hash_str) + dst_path_with_uuid = dst_path.with_suffix(f".{hash_str}" + "".join(dst_path.suffixes)) with dst_path_with_uuid.open("w") as output_file: for entry in instruction_data: conversation = entry[config.settings.conversations_key] @@ -40,7 +41,17 @@ def apply_chat_template(config_file_path: Path): output_file.write("\n") -def store_config_file_with_uuid(config_file_path: Path, dst_path: Path, uuid_str: str) -> None: +def hash_sum_file_sha256(file_path: Path) -> str: + hash = hashlib.sha256() + bytes = bytearray(128 * 1024) + mem_view = memoryview(bytes) + with file_path.open("rb", buffering=0) as f: + while n := f.readinto(mem_view): + hash.update(mem_view[:n]) + return hash.hexdigest() + + +def store_config_file_with_hash(config_file_path: Path, dst_path: Path, uuid_str: str) -> None: out_config_file_path = dst_path.parent / f"sft_chat_template_config.{uuid_str}.yaml" shutil.copyfile(config_file_path, out_config_file_path) diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/models/components/collator_wrapper.py index ccfa4d7c..a2369c83 100644 --- a/src/modalities/models/components/collator_wrapper.py +++ b/src/modalities/models/components/collator_wrapper.py @@ -34,8 +34,9 @@ def __init__( self.collate_fn = collate_fn self.target_keys_to_mask = target_keys_to_mask self.loss_ignore_index = loss_ignore_index - self.b_mask_token_id = tokenizer.get_token_id(special_tokens.b_include_to_loss_token) - self.e_mask_token_id = tokenizer.get_token_id(special_tokens.e_include_to_loss_token) + self.tokenizer = tokenizer + self.b_mask_token_id = self.tokenizer.get_token_id(special_tokens.b_include_to_loss_token) + self.e_mask_token_id = self.tokenizer.get_token_id(special_tokens.e_include_to_loss_token) def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: dataset_batch = self.collate_fn(batch) From 7632a02a05582cab2a3cf63c5f2ed7f597c620f8 Mon Sep 17 00:00:00 2001 From: Shangrui Nie Date: Mon, 22 Jul 2024 12:12:47 +0200 Subject: [PATCH 18/70] chore: add pbin file for testing loss masking --- data/lorem_ipsum_sft_converted.d267ec3.pbin | Bin 0 -> 13616 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 data/lorem_ipsum_sft_converted.d267ec3.pbin diff --git a/data/lorem_ipsum_sft_converted.d267ec3.pbin b/data/lorem_ipsum_sft_converted.d267ec3.pbin new file mode 100644 index 0000000000000000000000000000000000000000..8bdd445a31f8234f9a059a1ea367128186ac793e GIT binary patch literal 13616 zcmeHOeQZ-z6u;-b*Voe5x36|x*R|bzY_JVBSjUJ=EZ_iFy24nth6dQCuwe)oKrkf3 zY=$oz6amNAG8Li`OvDgDLBoeJ1WcGlKK~d5P|Rj7AdB2|b)=^4~ABw-{C@Wzq)XORXIOv_BSL)k9fzPFJ^Zl|$4$Z93)?rG@ zfm{!cI@B7N*H5%mAarwx_)PU9cL|p{_D>IfL_}dR<7UGe!Hy9l`=MPUcj zQ4?*kX5$`DnN>1gItz=U9=L`U@R{dH^^xi$4`XY+DJoUxy+aebug+6R3^o)^PF2a} zk=tPZw1`QEcCQEQ(oIJUHjdHA?!qWkQ2-Nd%pB^yn~i~*N}kf#4mo$RLX}kKX*jxA znguP-C_a^}L_V&{Ba~BaA4E(VX^_`jJn*`=-K*m&Y=xz?23I(YYwVT}ML&RV&5zFJ zbxIU2Y5=!u5>|KEepd+TF1wDt33*h)y!NhqQ9C9F(YNunxxaftI#r+`Jz--j_E@B) zXAF>E?o^3NPgr$u+EfyeY;)^MThN0=lWU;PJRB;ERdUW%H%KK4^i=ww4K2+m-IA=5 zr{S{XgL4ICLpIYkUt&!b9r>mjh}c!~q=Wp;>{h8v+LT2|IfUioc~NN0sl}ZpBBvos zB|Y*n)1!@;khun}DREU%eh#>o*&a4SH?FnGGDWtLzz5!Qd zz_}3`gFcnT(L_8^_m3ZTnpCO870#`qw?}IvRf@p`cNM+hswJ`aJg|oDF_pMNnhxgX zIA;%kE?5pwpu*;ZRC^*yTJMYm;3(z`7NhgbLD)>YG0(K22Qg|a8X-ARcuNV<*~Y0# z4B>J-)8q_FSslYIm&2m~<1TfS` zWo1s15B3^f;J$1HJ`%tkeKbDBJP}Sqh^93LVNZcZ&RF-EYoP{oT4sM`m`VcXWfJd) zngMnsYnVSz;+a_{-R;+M9O2i^RTTJz`jFo?IvcZ`4rO+m&a#}(bk4|ad><_487DV0 zIoG2U59}YPz!tNPvBYL{7CJnS+ULK@70CX23qXwa+WPzc?oR^X0k2k?t&%6`YB~Y- zY0QFNJo7rnE5Hi75Asr~=$}a{nc!xly|xn>+>#c05c8>5Yk<@4#YJ%ocy`Ipib4>P ze(INB;wQc8S-z_-C`D%GO=np#ao$_3|IK-4CxP2O!&;esFC%P}v9UZA;A8(%%!F^G zGhWuvd}XU~Dze?JXbp?;7RtPMi#q9iR}ePXHd!!Nr0KAI`-8La=G0LpA2{i4QvgOO zLHz5R4Svq(GK+9i6oHz%(8sKPQh% z`_x-S&wCfni(xdZa`fkD4gEU92P5&`JHvX-lbrJ4{5X=P$t*&4<+2RifZi*Yst2ni zin+Mi{dhU@CN(MdGQ>vX{47G9;kP>Jblj~Dxl$0^nCH%zJ5fWh+}}c1NH5sRFh*{C z=%jBKFdb40->2gFNqTTjUR}*r%*1%vX`hHZFdb)0b5e%u@4d2k>Mfpn^LN0+Q}6z7#KqYVPrd*Bt-&})qDCod zltNJoMJW`eP?SPZiuWkvcf+_o5bsg)ywJZEnW)9YYqp|B`G2fYw#ge?f&Zh<%=Y{c z3H7aN5A}t9Th$)E1mOT+>ytt~*vPWcT#>^`Z1fLP*vZ-?Gw*vW;at`qJ0P6K+8Qf^ z3I|jJ%WvaY3p4{Hl4LZallk09DIBXYmG@sv<5(N)9P53DfweB(z*^ztSYKrrAUj<~ zvo@2@?R0ajPqKLbOAp8T(aW)}`wXlfvJI@WIULKO8z47%b7>%-do`D1$%A-5Z7|0g vna{B*3k<9gg$7ps5RTP6)WE7LG8%s|pF4IK$BGQ+{n;fP>ovcD)l~c!Z{kaC literal 0 HcmV?d00001 From 15719a341dd651340e63523a190e7d4943614e8e Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 22 Jul 2024 14:51:14 +0200 Subject: [PATCH 19/70] chore: Fix loss masking when starting within an assistant answer --- .../apply_chat_template_config.yaml | 8 +- .../data_preparation/sft_create_pbin.yaml | 19 ++++ config_files/training/config_lorem_ipsum.yaml | 6 +- data/lorem_ipsum_sft_converted.510fe89.idx | Bin 0 -> 415 bytes ...> lorem_ipsum_sft_converted.510fe89.jsonl} | 100 +++++++++--------- data/lorem_ipsum_sft_converted.510fe89.pbin | Bin 0 -> 13536 bytes data/lorem_ipsum_sft_converted.d267ec3.pbin | Bin 13616 -> 0 bytes ... => sft_chat_template_config.510fe89.yaml} | 8 +- .../models/components/collator_wrapper.py | 67 ------------ tests/test_loss_masking.py | 10 +- 10 files changed, 85 insertions(+), 133 deletions(-) create mode 100644 config_files/data_preparation/sft_create_pbin.yaml create mode 100644 data/lorem_ipsum_sft_converted.510fe89.idx rename data/{lorem_ipsum_sft_converted.d267ec3.jsonl => lorem_ipsum_sft_converted.510fe89.jsonl} (57%) create mode 100644 data/lorem_ipsum_sft_converted.510fe89.pbin delete mode 100644 data/lorem_ipsum_sft_converted.d267ec3.pbin rename data/{sft_chat_template_config.d267ec3.yaml => sft_chat_template_config.510fe89.yaml} (88%) delete mode 100644 src/modalities/models/components/collator_wrapper.py diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index bf9d05f2..cf325723 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -15,14 +15,14 @@ jinja2_chat_templates: default: | {{ chat_template_data.system_instruction + '\n' }} {% for turn in conversation %} - {{ turn.from + ': ' }} + {{ turn.from + ':' }} {% if turn.from == chat_template_data.assistant_role %} - {{ chat_template_data.special_tokens.b_include_to_loss_token + " "}} + {{ chat_template_data.special_tokens.b_include_to_loss_token}} {% endif %} {{ turn.value + '\n'}} {% if turn.from == chat_template_data.assistant_role %} - {{ " " + chat_template_data.special_tokens.e_include_to_loss_token + " "}} - {{ chat_template_data.special_tokens.e_assistant_token + " "}} + {{ chat_template_data.special_tokens.e_include_to_loss_token}} + {{ chat_template_data.special_tokens.e_assistant_token}} {% endif %} {% endfor %} {{ chat_template_data.special_tokens.eod_token }} diff --git a/config_files/data_preparation/sft_create_pbin.yaml b/config_files/data_preparation/sft_create_pbin.yaml new file mode 100644 index 00000000..994ff62d --- /dev/null +++ b/config_files/data_preparation/sft_create_pbin.yaml @@ -0,0 +1,19 @@ +settings: + src_path: ./data/lorem_ipsum_sft_converted.510fe89.jsonl + dst_path: ./data/lorem_ipsum_sft_converted.510fe89.pbin + index_path: ./data/lorem_ipsum_sft_converted.510fe89.idx + jq_pattern: .chat + num_cpus: 2 + eod_token: <|endoftext|> + processing_batch_size: 1000 + raw_samples_queue_size: 300 + processed_samples_queue_size: 300 + + +tokenizer: + component_key: tokenizer + variant_key: pretrained_hf_tokenizer + config: + pretrained_model_name_or_path: ./data/tokenizer/hf_gpt2 + padding: false + truncation: false diff --git a/config_files/training/config_lorem_ipsum.yaml b/config_files/training/config_lorem_ipsum.yaml index 2dbc6413..3efb7560 100644 --- a/config_files/training/config_lorem_ipsum.yaml +++ b/config_files/training/config_lorem_ipsum.yaml @@ -34,8 +34,8 @@ collate_fn: - ${settings.referencing_keys.target_key} loss_ignore_index: -100 special_tokens: - b_include_to_loss_token: - e_include_to_loss_token: + b_include_to_loss_token: ^ + e_include_to_loss_token: $ tokenizer: instance_key: tokenizer pass_type: BY_REFERENCE @@ -44,7 +44,7 @@ train_dataset: component_key: dataset variant_key: packed_mem_map_dataset_continuous config: - raw_data_path: ./data/lorem_ipsum_sft_converted_more_data.64a5f855-7b1b-496c-82fd-747d5044d496.pbin + raw_data_path: ./data/lorem_ipsum_sft_converted.510fe89.pbin sequence_length: ${settings.training.sequence_length} sample_key: ${settings.referencing_keys.sample_key} diff --git a/data/lorem_ipsum_sft_converted.510fe89.idx b/data/lorem_ipsum_sft_converted.510fe89.idx new file mode 100644 index 0000000000000000000000000000000000000000..9a603c5efb242e445c06292deeee8e370dec2047 GIT binary patch literal 415 zcmZo*nL34$0SscNXm~UDwlKF%@oi=HwPOL&N7#LLf#`Z3-+3T$IRW1s5Zx{8yAC97 zCE+^Qj%>mIaioUNvw7!~e6NuiV1vCmsTj=@PgZLFjzPmxRiMj85koXlV-&_#w zWaqmcB>u_CcP@yY;O?6XqW^jOz6Q~+0(_f6bY3XLye|"} -{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: ^ AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n $ \u00b0 <|endoftext|>"} -{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: ^ Of course! Give me a topic, and I'll write something for you.\n $ \u00b0 User1: Write about the sea.\nAssistant: ^ The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n $ \u00b0 User2: That's beautiful, thanks!\nAssistant: ^ You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: ^ I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n $ \u00b0 <|endoftext|>"} -{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: ^ The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n $ \u00b0 User1: No, but I'd love to visit someday.\nAssistant: ^ It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n $ \u00b0 <|endoftext|>"} -{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: ^ The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n $ \u00b0 User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: ^ That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n $ \u00b0 <|endoftext|>"} -{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: ^ The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: ^ The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: ^ The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: ^ The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 10, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: ^ Hello! How can I help you today?\n $ \u00b0 User1: Who are you?\nAssistant: ^ You can call me Mody, and I was trained by the modalities team as a language model.\n $ \u00b0 User2: Goodbye\nAssistant: ^ Goodbye! If you have any more questions in the future, don't hesitate to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 11, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: ^ AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n $ \u00b0 <|endoftext|>"} -{"id": 12, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: ^ Of course! Give me a topic, and I'll write something for you.\n $ \u00b0 User1: Write about the sea.\nAssistant: ^ The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n $ \u00b0 User2: That's beautiful, thanks!\nAssistant: ^ You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 13, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: ^ I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n $ \u00b0 <|endoftext|>"} -{"id": 14, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: ^ The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n $ \u00b0 User1: No, but I'd love to visit someday.\nAssistant: ^ It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n $ \u00b0 <|endoftext|>"} -{"id": 15, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: ^ The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n $ \u00b0 User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: ^ That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n $ \u00b0 <|endoftext|>"} -{"id": 16, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: ^ The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 17, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: ^ The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 18, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: ^ The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 19, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: ^ The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 20, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: ^ Hello! How can I help you today?\n $ \u00b0 User1: Who are you?\nAssistant: ^ You can call me Mody, and I was trained by the modalities team as a language model.\n $ \u00b0 User2: Goodbye\nAssistant: ^ Goodbye! If you have any more questions in the future, don't hesitate to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 21, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: ^ AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n $ \u00b0 <|endoftext|>"} -{"id": 22, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: ^ Of course! Give me a topic, and I'll write something for you.\n $ \u00b0 User1: Write about the sea.\nAssistant: ^ The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n $ \u00b0 User2: That's beautiful, thanks!\nAssistant: ^ You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 23, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: ^ I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n $ \u00b0 <|endoftext|>"} -{"id": 24, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: ^ The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n $ \u00b0 User1: No, but I'd love to visit someday.\nAssistant: ^ It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n $ \u00b0 <|endoftext|>"} -{"id": 25, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: ^ The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n $ \u00b0 User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: ^ That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n $ \u00b0 <|endoftext|>"} -{"id": 26, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: ^ The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 27, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: ^ The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 28, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: ^ The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 29, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: ^ The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 30, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: ^ Hello! How can I help you today?\n $ \u00b0 User1: Who are you?\nAssistant: ^ You can call me Mody, and I was trained by the modalities team as a language model.\n $ \u00b0 User2: Goodbye\nAssistant: ^ Goodbye! If you have any more questions in the future, don't hesitate to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 31, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: ^ AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n $ \u00b0 <|endoftext|>"} -{"id": 32, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: ^ Of course! Give me a topic, and I'll write something for you.\n $ \u00b0 User1: Write about the sea.\nAssistant: ^ The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n $ \u00b0 User2: That's beautiful, thanks!\nAssistant: ^ You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 33, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: ^ I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n $ \u00b0 <|endoftext|>"} -{"id": 34, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: ^ The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n $ \u00b0 User1: No, but I'd love to visit someday.\nAssistant: ^ It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n $ \u00b0 <|endoftext|>"} -{"id": 35, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: ^ The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n $ \u00b0 User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: ^ That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n $ \u00b0 <|endoftext|>"} -{"id": 36, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: ^ The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 37, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: ^ The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 38, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: ^ The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 39, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: ^ The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 40, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant: ^ Hello! How can I help you today?\n $ \u00b0 User1: Who are you?\nAssistant: ^ You can call me Mody, and I was trained by the modalities team as a language model.\n $ \u00b0 User2: Goodbye\nAssistant: ^ Goodbye! If you have any more questions in the future, don't hesitate to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 41, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant: ^ AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n $ \u00b0 <|endoftext|>"} -{"id": 42, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant: ^ Of course! Give me a topic, and I'll write something for you.\n $ \u00b0 User1: Write about the sea.\nAssistant: ^ The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n $ \u00b0 User2: That's beautiful, thanks!\nAssistant: ^ You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 43, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant: ^ I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n $ \u00b0 User1: Yes, please.\nAssistant: ^ You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n $ \u00b0 <|endoftext|>"} -{"id": 44, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant: ^ The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n $ \u00b0 User1: No, but I'd love to visit someday.\nAssistant: ^ It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n $ \u00b0 <|endoftext|>"} -{"id": 45, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant: ^ The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n $ \u00b0 User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant: ^ That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n $ \u00b0 <|endoftext|>"} -{"id": 46, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant: ^ The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 47, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant: ^ The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 48, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant: ^ The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} -{"id": 49, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant: ^ The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n $ \u00b0 User1: Thank you for the advice.\nAssistant: ^ You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n $ \u00b0 <|endoftext|>"} +{"id": 0, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is up?`\nAssistant:^Hello! How can I help you today?\n$\u00b0User1:Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n$\u00b0User2:Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n$\u00b0<|endoftext|>"} +{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n$\u00b0User1:Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n$\u00b0<|endoftext|>"} +{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n$\u00b0User1:Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n$\u00b0User2:That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n$\u00b0User1:Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n$\u00b0<|endoftext|>"} +{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n$\u00b0User1:No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n$\u00b0<|endoftext|>"} +{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n$\u00b0User1:I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n$\u00b0<|endoftext|>"} +{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 10, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is up?`\nAssistant:^Hello! How can I help you today?\n$\u00b0User1:Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n$\u00b0User2:Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n$\u00b0<|endoftext|>"} +{"id": 11, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n$\u00b0User1:Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n$\u00b0<|endoftext|>"} +{"id": 12, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n$\u00b0User1:Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n$\u00b0User2:That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 13, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n$\u00b0User1:Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n$\u00b0<|endoftext|>"} +{"id": 14, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n$\u00b0User1:No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n$\u00b0<|endoftext|>"} +{"id": 15, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n$\u00b0User1:I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n$\u00b0<|endoftext|>"} +{"id": 16, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 17, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 18, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 19, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 20, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is up?`\nAssistant:^Hello! How can I help you today?\n$\u00b0User1:Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n$\u00b0User2:Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n$\u00b0<|endoftext|>"} +{"id": 21, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n$\u00b0User1:Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n$\u00b0<|endoftext|>"} +{"id": 22, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n$\u00b0User1:Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n$\u00b0User2:That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 23, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n$\u00b0User1:Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n$\u00b0<|endoftext|>"} +{"id": 24, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n$\u00b0User1:No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n$\u00b0<|endoftext|>"} +{"id": 25, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n$\u00b0User1:I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n$\u00b0<|endoftext|>"} +{"id": 26, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 27, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 28, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 29, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 30, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is up?`\nAssistant:^Hello! How can I help you today?\n$\u00b0User1:Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n$\u00b0User2:Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n$\u00b0<|endoftext|>"} +{"id": 31, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n$\u00b0User1:Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n$\u00b0<|endoftext|>"} +{"id": 32, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n$\u00b0User1:Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n$\u00b0User2:That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 33, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n$\u00b0User1:Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n$\u00b0<|endoftext|>"} +{"id": 34, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n$\u00b0User1:No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n$\u00b0<|endoftext|>"} +{"id": 35, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n$\u00b0User1:I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n$\u00b0<|endoftext|>"} +{"id": 36, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 37, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 38, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 39, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 40, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is up?`\nAssistant:^Hello! How can I help you today?\n$\u00b0User1:Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n$\u00b0User2:Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n$\u00b0<|endoftext|>"} +{"id": 41, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n$\u00b0User1:Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n$\u00b0<|endoftext|>"} +{"id": 42, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n$\u00b0User1:Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n$\u00b0User2:That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 43, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n$\u00b0User1:Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n$\u00b0<|endoftext|>"} +{"id": 44, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n$\u00b0User1:No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n$\u00b0<|endoftext|>"} +{"id": 45, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n$\u00b0User1:I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n$\u00b0<|endoftext|>"} +{"id": 46, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 47, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 48, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 49, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. 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{{ turn.from + ': ' }} + {{ turn.from + ':' }} {% if turn.from == chat_template_data.assistant_role %} - {{ chat_template_data.special_tokens.b_include_to_loss_token + " "}} + {{ chat_template_data.special_tokens.b_include_to_loss_token}} {% endif %} {{ turn.value + '\n'}} {% if turn.from == chat_template_data.assistant_role %} - {{ " " + chat_template_data.special_tokens.e_include_to_loss_token + " "}} - {{ chat_template_data.special_tokens.e_assistant_token + " "}} + {{ chat_template_data.special_tokens.e_include_to_loss_token}} + {{ chat_template_data.special_tokens.e_assistant_token}} {% endif %} {% endfor %} {{ chat_template_data.special_tokens.eod_token }} diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/models/components/collator_wrapper.py deleted file mode 100644 index a2369c83..00000000 --- a/src/modalities/models/components/collator_wrapper.py +++ /dev/null @@ -1,67 +0,0 @@ -from typing import Dict, List - -import torch -from pydantic import BaseModel - -from modalities.batch import DatasetBatch -from modalities.config.pydanctic_if_types import PydanticCollateFnIFType, PydanticTokenizerIFType -from modalities.models.gpt2.collator import CollateFnIF -from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper - - -class MaskingTokenConfig(BaseModel): - b_include_to_loss_token: str - e_include_to_loss_token: str - - -class LossMaskingCollateFnWrapperConfig(BaseModel): - collate_fn: PydanticCollateFnIFType - target_keys_to_mask: List[str] - loss_ignore_index: int - special_tokens: MaskingTokenConfig - tokenizer: PydanticTokenizerIFType - - -class LossMaskingCollateFnWrapper(CollateFnIF): - def __init__( - self, - collate_fn: CollateFnIF, - target_keys_to_mask: List[str], - loss_ignore_index: int, - special_tokens: MaskingTokenConfig, - tokenizer: TokenizerWrapper, - ): - self.collate_fn = collate_fn - self.target_keys_to_mask = target_keys_to_mask - self.loss_ignore_index = loss_ignore_index - self.tokenizer = tokenizer - self.b_mask_token_id = self.tokenizer.get_token_id(special_tokens.b_include_to_loss_token) - self.e_mask_token_id = self.tokenizer.get_token_id(special_tokens.e_include_to_loss_token) - - def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: - dataset_batch = self.collate_fn(batch) - for target_key_to_mask in self.target_keys_to_mask: - target = dataset_batch.targets[target_key_to_mask] - masked_target = self._mask_target( - target=target, - b_mask_token_id=self.b_mask_token_id, - e_mask_token_id=self.e_mask_token_id, - loss_ignore_index=self.loss_ignore_index, - ) - dataset_batch.targets[target_key_to_mask] = masked_target - return dataset_batch - - def _mask_target( - self, target: torch.Tensor, b_mask_token_id: int, e_mask_token_id: int, loss_ignore_index: int - ) -> torch.Tensor: - assert b_mask_token_id != e_mask_token_id, "b_mask_token_id and e_mask_token_id must be different!" - assert b_mask_token_id in target, "b_mask_token_id not found in target" - assert e_mask_token_id in target, "e_mask_token_id not found in target" - mask = torch.zeros_like(target) - mask += torch.where(target != b_mask_token_id, 0, 1) - mask += torch.where(target != e_mask_token_id, 0, -1) - mask = mask.cumsum(-1) - mask = mask.roll(shifts=1, dims=-1) - mask[:, 0] = 0 - new_target = torch.where(mask > 0, target, loss_ignore_index) - return new_target diff --git a/tests/test_loss_masking.py b/tests/test_loss_masking.py index 7286ef16..fff25a48 100644 --- a/tests/test_loss_masking.py +++ b/tests/test_loss_masking.py @@ -43,22 +43,22 @@ def loss_masking_config(dummy_tokenizer) -> LossMaskingCollateFnWrapperConfig: ( [ {"sample": torch.Tensor([5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1])}, - {"sample": torch.Tensor([5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1])}, + {"sample": torch.Tensor([5, 5, 1, 5, 0, 5, 5, 5, 1, 5, 5, 5, 5, 5, 5])}, ], # the expected batch is shifted and masked for loss computation! DatasetBatch( targets={ "target": torch.Tensor( [ + # expected case (due to the target shift it does not begin with [-100, -100, -100, 5]) [-100, -100, 5, 5, 1, -100, -100, 5, 1, -100, 1, -100, -100, 1], - [-100, -100, 5, 5, 1, -100, -100, 5, 1, -100, 1, -100, -100, 1], + # # case: dataset splits samples so that we need to keep the first tokens for the loss + [5, 1, -100, -100, 5, 5, 5, 1, -100, -100, -100, -100, -100, -100], ] ) }, samples={ - "sample": torch.Tensor( - [[5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0], [5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0]] - ) + # not needed for the test }, ), ) From ab0f34c6d444bc63e7efdc423394c62b3bc4ccdf Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 22 Jul 2024 15:23:41 +0200 Subject: [PATCH 20/70] chore: add lost collator wrappr again --- .../models/components/collator_wrapper.py | 90 +++++++++++++++++++ 1 file changed, 90 insertions(+) create mode 100644 src/modalities/models/components/collator_wrapper.py diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/models/components/collator_wrapper.py new file mode 100644 index 00000000..df1e3024 --- /dev/null +++ b/src/modalities/models/components/collator_wrapper.py @@ -0,0 +1,90 @@ +from typing import Dict, List + +import torch +from pydantic import BaseModel + +from modalities.batch import DatasetBatch +from modalities.config.pydanctic_if_types import PydanticCollateFnIFType, PydanticTokenizerIFType +from modalities.models.gpt2.collator import CollateFnIF +from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper + + +class MaskingTokenConfig(BaseModel): + b_include_to_loss_token: str + e_include_to_loss_token: str + + +class LossMaskingCollateFnWrapperConfig(BaseModel): + collate_fn: PydanticCollateFnIFType + target_keys_to_mask: List[str] + loss_ignore_index: int + special_tokens: MaskingTokenConfig + tokenizer: PydanticTokenizerIFType + + +class LossMaskingCollateFnWrapper(CollateFnIF): + def __init__( + self, + collate_fn: CollateFnIF, + target_keys_to_mask: List[str], + loss_ignore_index: int, + special_tokens: MaskingTokenConfig, + tokenizer: TokenizerWrapper, + ): + self.collate_fn = collate_fn + self.target_keys_to_mask = target_keys_to_mask + self.loss_ignore_index = loss_ignore_index + self.tokenizer = tokenizer + self.b_mask_token_id = self.tokenizer.get_token_id(special_tokens.b_include_to_loss_token) + self.e_mask_token_id = self.tokenizer.get_token_id(special_tokens.e_include_to_loss_token) + + def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: + dataset_batch = self.collate_fn(batch) + for target_key_to_mask in self.target_keys_to_mask: + target = dataset_batch.targets[target_key_to_mask] + masked_target = self._mask_target( + target=target, + b_mask_token_id=self.b_mask_token_id, + e_mask_token_id=self.e_mask_token_id, + loss_ignore_index=self.loss_ignore_index, + ) + dataset_batch.targets[target_key_to_mask] = masked_target + return dataset_batch + + def _mask_target( + self, target: torch.Tensor, b_mask_token_id: int, e_mask_token_id: int, loss_ignore_index: int + ) -> torch.Tensor: + error_msg = "" + + if b_mask_token_id == e_mask_token_id: + error_msg += "b_mask_token_id and e_mask_token_id must be different! " + if b_mask_token_id not in target: + error_msg += "b_mask_token_id not found in target " + if e_mask_token_id not in target: + error_msg += "e_mask_token_id not found in target " + if error_msg: + raise ValueError( + "Error in masking tokens for loss computation." + + "Make sure the tokenizer tokenized as expected. Frequent source of error: ' ' and ''" + + "Please check the following: " + + error_msg + + error_msg + ) + mask = torch.zeros_like(target) + mask += torch.where(target != b_mask_token_id, 0, 1) + mask += torch.where(target != e_mask_token_id, 0, -1) + + # in case -1 is before 1 we need to include the first tokens to the loss + end_before_begin = torch.argmax(mask, dim=-1, keepdim=True) > torch.argmin(mask, dim=-1, keepdim=True) + mask[:, 0] = end_before_begin.squeeze() + + # mark all tokens beween 1 and -1 with 1 + mask = mask.cumsum(-1) + + # shift the mask to the right, to conform to the shifted target + mask = mask.roll(shifts=1, dims=-1) + mask[:, 0] = end_before_begin.squeeze() + + # apply mask: if mask is 1, keep the target, otherwise replace with loss_ignore_index + new_target = torch.where(mask > 0, target, loss_ignore_index) + return new_target From 0a545ca4f9958776688c4ea6bc6e42853d9871e7 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 22 Jul 2024 17:31:59 +0200 Subject: [PATCH 21/70] chore: fix the loss masking test and the implementation. Improve documentation. --- .../apply_chat_template_config.yaml | 2 ++ config_files/training/config_lorem_ipsum.yaml | 2 +- .../models/components/collator_wrapper.py | 35 ++++++++++++------- tests/test_loss_masking.py | 17 ++++++--- 4 files changed, 37 insertions(+), 19 deletions(-) diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index cf325723..606ccfe9 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -18,6 +18,8 @@ jinja2_chat_templates: {{ turn.from + ':' }} {% if turn.from == chat_template_data.assistant_role %} {{ chat_template_data.special_tokens.b_include_to_loss_token}} + {% else %} + {{ " " }} {% endif %} {{ turn.value + '\n'}} {% if turn.from == chat_template_data.assistant_role %} diff --git a/config_files/training/config_lorem_ipsum.yaml b/config_files/training/config_lorem_ipsum.yaml index 3efb7560..cd29bcf6 100644 --- a/config_files/training/config_lorem_ipsum.yaml +++ b/config_files/training/config_lorem_ipsum.yaml @@ -33,7 +33,7 @@ collate_fn: target_keys_to_mask: - ${settings.referencing_keys.target_key} loss_ignore_index: -100 - special_tokens: + mask_tokens: b_include_to_loss_token: ^ e_include_to_loss_token: $ tokenizer: diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/models/components/collator_wrapper.py index df1e3024..b7e48c99 100644 --- a/src/modalities/models/components/collator_wrapper.py +++ b/src/modalities/models/components/collator_wrapper.py @@ -18,7 +18,7 @@ class LossMaskingCollateFnWrapperConfig(BaseModel): collate_fn: PydanticCollateFnIFType target_keys_to_mask: List[str] loss_ignore_index: int - special_tokens: MaskingTokenConfig + mask_tokens: MaskingTokenConfig tokenizer: PydanticTokenizerIFType @@ -28,15 +28,23 @@ def __init__( collate_fn: CollateFnIF, target_keys_to_mask: List[str], loss_ignore_index: int, - special_tokens: MaskingTokenConfig, + mask_tokens: MaskingTokenConfig, tokenizer: TokenizerWrapper, ): + """Wraps the given collate_fn and masks the target keys if not within the given special mask tokens. + Does not include both mask tokens into the loss. If you need a token to indicate the end of the assistant, + use another special token for this! + Works also for the continouus dataset reading, as if the "end-include-to-loss" token is detected in the front, + all tokens before are included to the loss. + + Throws a ValueError if the mask tokens are not found in the target or if the mask tokens are the same. + """ self.collate_fn = collate_fn self.target_keys_to_mask = target_keys_to_mask self.loss_ignore_index = loss_ignore_index self.tokenizer = tokenizer - self.b_mask_token_id = self.tokenizer.get_token_id(special_tokens.b_include_to_loss_token) - self.e_mask_token_id = self.tokenizer.get_token_id(special_tokens.e_include_to_loss_token) + self.b_mask_token_id = self.tokenizer.get_token_id(mask_tokens.b_include_to_loss_token) + self.e_mask_token_id = self.tokenizer.get_token_id(mask_tokens.e_include_to_loss_token) def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: dataset_batch = self.collate_fn(batch) @@ -70,21 +78,22 @@ def _mask_target( + error_msg + error_msg ) + mask = torch.zeros_like(target) - mask += torch.where(target != b_mask_token_id, 0, 1) + # we shift the mask to the right, to exclude not only the end mask token but also + # the begin mask token from the loss + mask[:, 1:] += torch.where(target != b_mask_token_id, 0, 1)[:, :-1] mask += torch.where(target != e_mask_token_id, 0, -1) - # in case -1 is before 1 we need to include the first tokens to the loss + # in case -1 (end mask token indicator) is before 1 (begin mask token indicator) we need to + # include the first tokens to the loss end_before_begin = torch.argmax(mask, dim=-1, keepdim=True) > torch.argmin(mask, dim=-1, keepdim=True) mask[:, 0] = end_before_begin.squeeze() - # mark all tokens beween 1 and -1 with 1 - mask = mask.cumsum(-1) - - # shift the mask to the right, to conform to the shifted target - mask = mask.roll(shifts=1, dims=-1) - mask[:, 0] = end_before_begin.squeeze() + # mark all tokens beween 1 (begin mask token indicator) and -1 (end mask token indicator) with 1 + # this includes the 1, but due to the shift above, we exclude both! + include_to_loss_mask = mask.cumsum(-1) # apply mask: if mask is 1, keep the target, otherwise replace with loss_ignore_index - new_target = torch.where(mask > 0, target, loss_ignore_index) + new_target = torch.where(include_to_loss_mask.bool(), target, loss_ignore_index) return new_target diff --git a/tests/test_loss_masking.py b/tests/test_loss_masking.py index fff25a48..dffe5a1a 100644 --- a/tests/test_loss_masking.py +++ b/tests/test_loss_masking.py @@ -31,7 +31,7 @@ def loss_masking_config(dummy_tokenizer) -> LossMaskingCollateFnWrapperConfig: collate_fn=GPT2LLMCollateFn(sample_key="sample", target_key="target"), target_keys_to_mask=["target"], loss_ignore_index=-100, - special_tokens=MaskingTokenConfig(b_include_to_loss_token="begin", e_include_to_loss_token="end"), + mask_tokens=MaskingTokenConfig(b_include_to_loss_token="begin", e_include_to_loss_token="end"), tokenizer=dummy_tokenizer, ) @@ -42,7 +42,14 @@ def loss_masking_config(dummy_tokenizer) -> LossMaskingCollateFnWrapperConfig: [ ( [ + # the collate_fn will shift the sample and target: + # shifted sample: [5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0] + # shifted target: [5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1] + # masked shifted target: [-100, -100, 5, 5, -100, -100, -100, 5, -100, -100, -100, -100, -100, -100] {"sample": torch.Tensor([5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1])}, + # shifted sample: [5, 5, 1, 5, 0, 5, 5, 5, 1, 5, 5, 5, 5, 5] + # shifted target: [5, 1, 5, 0, 5, 5, 5, 1, 5, 5, 5, 5, 5, 5] + # masked shifted target: [5, -100, -100, -100, 5, 5, 5, -100, -100, -100, -100, -100, -100, -100] {"sample": torch.Tensor([5, 5, 1, 5, 0, 5, 5, 5, 1, 5, 5, 5, 5, 5, 5])}, ], # the expected batch is shifted and masked for loss computation! @@ -50,10 +57,10 @@ def loss_masking_config(dummy_tokenizer) -> LossMaskingCollateFnWrapperConfig: targets={ "target": torch.Tensor( [ - # expected case (due to the target shift it does not begin with [-100, -100, -100, 5]) - [-100, -100, 5, 5, 1, -100, -100, 5, 1, -100, 1, -100, -100, 1], - # # case: dataset splits samples so that we need to keep the first tokens for the loss - [5, 1, -100, -100, 5, 5, 5, 1, -100, -100, -100, -100, -100, -100], + # expected case + [-100, -100, 5, 5, -100, -100, -100, 5, -100, -100, -100, -100, -100, -100], + # case: if dataset splits the assisstant role across batches, Keep those tokens at the front + [5, -100, -100, -100, 5, 5, 5, -100, -100, -100, -100, -100, -100, -100], ] ) }, From 12c74bc82b65265ce2778ab5417420151ae7deb2 Mon Sep 17 00:00:00 2001 From: rrutmann Date: Tue, 23 Jul 2024 10:00:09 +0200 Subject: [PATCH 22/70] feat(sft): Do not reuse last targets for Instruction Tuning --- .../packed_chat_dataset_config.yaml | 22 ++ .../training/config_lorem_ipsum_instruct.yaml | 313 ++++++++++++++++++ src/modalities/config/config.py | 1 + src/modalities/dataloader/dataset.py | 36 +- src/modalities/dataloader/dataset_factory.py | 4 +- 5 files changed, 362 insertions(+), 14 deletions(-) create mode 100644 config_files/data_preparation/packed_chat_dataset_config.yaml create mode 100644 config_files/training/config_lorem_ipsum_instruct.yaml diff --git a/config_files/data_preparation/packed_chat_dataset_config.yaml b/config_files/data_preparation/packed_chat_dataset_config.yaml new file mode 100644 index 00000000..bedc5eb3 --- /dev/null +++ b/config_files/data_preparation/packed_chat_dataset_config.yaml @@ -0,0 +1,22 @@ +settings: + src_path: data/lorem_ipsum_sft_converted.jsonl + dst_path: data/lorem_ipsum_sft_converted.pbin + index_path: data/lorem_ipsum_sft_converted.idx + jq_pattern: .chat + num_cpus: 1 + eod_token: <|endoftext|> + processing_batch_size: 5 + raw_samples_queue_size: 300 + processed_samples_queue_size: 300 + sequence_length: 2048 + +tokenizer: + component_key: tokenizer + variant_key: pretrained_hf_tokenizer + config: + pretrained_model_name_or_path: data/tokenizer/hf_gpt2 + padding: max_length + truncation: true + max_length: ${settings.sequence_length} + special_tokens: + pad_token: <|endoftext|> # eos token diff --git a/config_files/training/config_lorem_ipsum_instruct.yaml b/config_files/training/config_lorem_ipsum_instruct.yaml new file mode 100644 index 00000000..7e92ab7b --- /dev/null +++ b/config_files/training/config_lorem_ipsum_instruct.yaml @@ -0,0 +1,313 @@ +settings: + experiment_id: ${modalities_env:experiment_id} + config_file_path: ${modalities_env:config_file_path} + referencing_keys: + sample_key: input_ids + target_key: target_ids + training: + training_log_interval_in_steps: 2 + checkpointing_interval_in_steps: 4 + evaluation_interval_in_steps: 2 + global_num_seen_tokens: 0 + activation_checkpointing_modules: [GPT2Block] + gradient_acc_steps: 2 + local_train_micro_batch_size: 1 + sequence_length: 2048 + cuda_env: + local_rank: ${cuda_env:LOCAL_RANK} + global_rank: ${cuda_env:RANK} + world_size: ${cuda_env:WORLD_SIZE} + paths: + checkpointing_path: data/checkpoints + +collate_fn: + component_key: collate_fn + variant_key: gpt_2_llm_collator + config: + sample_key: ${settings.referencing_keys.sample_key} + target_key: ${settings.referencing_keys.target_key} + +train_dataset: + component_key: dataset + variant_key: packed_mem_map_dataset_continuous + config: + raw_data_path: ./data/lorem_ipsum_sft_converted.pbin + sequence_length: ${settings.training.sequence_length} + sample_key: ${settings.referencing_keys.sample_key} + reuse_last_target: false + +train_dataloader: + component_key: data_loader + variant_key: default + config: + num_workers: 2 + pin_memory: true + shuffle: false + dataloader_tag: train + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + batch_sampler: + component_key: batch_sampler + variant_key: default + config: + batch_size: ${settings.training.local_train_micro_batch_size} + drop_last: true + sampler: + component_key: sampler + variant_key: distributed_sampler + config: + rank: ${settings.cuda_env.global_rank} + num_replicas: ${settings.cuda_env.world_size} + shuffle: true + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + collate_fn: + instance_key: collate_fn + pass_type: BY_REFERENCE + +val_dataloader: + component_key: data_loader + variant_key: default + config: + num_workers: 2 + pin_memory: true + shuffle: false + dataloader_tag: "val" + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + batch_sampler: + component_key: batch_sampler + variant_key: default + config: + batch_size: 4 + drop_last: true + sampler: + component_key: sampler + variant_key: distributed_sampler + config: + rank: ${settings.cuda_env.global_rank} + num_replicas: ${settings.cuda_env.world_size} + shuffle: false + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + collate_fn: + instance_key: collate_fn + pass_type: BY_REFERENCE + +test_dataloader: + component_key: data_loader + variant_key: default + config: + num_workers: 2 + pin_memory: true + shuffle: false + dataloader_tag: "test" + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + batch_sampler: + component_key: batch_sampler + variant_key: default + config: + batch_size: 2 + drop_last: true + sampler: + component_key: sampler + variant_key: distributed_sampler + config: + rank: ${settings.cuda_env.global_rank} + num_replicas: ${settings.cuda_env.world_size} + shuffle: false + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + collate_fn: + instance_key: collate_fn + pass_type: BY_REFERENCE + +eval_dataloaders: + - instance_key: val_dataloader + pass_type: BY_REFERENCE + - instance_key: test_dataloader + pass_type: BY_REFERENCE + +checkpoint_saving: + component_key: checkpoint_saving + variant_key: default + config: + checkpoint_saving_strategy: + component_key: checkpoint_saving_strategy + variant_key: save_k_most_recent_checkpoints_strategy + config: + k: -1 # -1 to save all checkpoints + checkpoint_saving_execution: + component_key: checkpoint_saving_execution + variant_key: fsdp + config: + checkpoint_path: ${settings.paths.checkpointing_path} + global_rank: ${settings.cuda_env.global_rank} + experiment_id: ${settings.experiment_id} + get_num_tokens_from_num_steps_callable: + component_key: number_conversion + variant_key: num_tokens_from_num_steps_callable + config: + num_ranks: ${settings.cuda_env.world_size} + local_micro_batch_size: ${settings.training.local_train_micro_batch_size} + sequence_length: ${settings.training.sequence_length} + +# resolving class types via different enums sucks... +loss_fn: + component_key: loss + variant_key: clm_cross_entropy_loss + config: + target_key: target_ids + prediction_key: logits + +wrapped_model: + component_key: model + variant_key: fsdp_wrapped + config: + model: + instance_key: model + pass_type: BY_REFERENCE + sync_module_states: true + mixed_precision_settings: BF_16 + sharding_strategy: FULL_SHARD + block_names: [GPT2Block] + +model: + component_key: model + variant_key: model_initialized + config: + model: + instance_key: model_raw + pass_type: BY_REFERENCE + model_initializer: + component_key: model_initialization + variant_key: composed + config: + model_type: gpt2 + weight_init_type: scaled + mean: 0.0 + std: 0.02 + num_layers: ${model_raw.config.n_layer} + +model_raw: + component_key: model + variant_key: gpt2 + config: + sample_key: ${settings.referencing_keys.sample_key} + poe_type: NOPE + sequence_length: ${settings.training.sequence_length} + prediction_key: ${loss_fn.config.prediction_key} + vocab_size: 50304 # GPT-2 vocab_size of 50257, padded up to nearest multiple of 64 for efficiency + n_layer: 2 + n_head_q: 8 + n_head_kv: 4 + ffn_hidden: 128 + n_embd: 128 + dropout: 0.0 + bias: true # True: bias in Linears and LayerNorms, like GPT-2. False: a bit better and faster + attention_config: + qkv_transforms: + - type_hint: RotaryTransform + config: + n_embd: ${model_raw.config.n_embd} + n_head: ${model_raw.config.n_head_q} #it has to be head_q here + seq_length_dim: -2 + attention_implementation: manual + activation_type: swiglu + attention_norm: + component_key: layer_norm + variant_key: rms_norm + config: + ndim: ${model_raw.config.n_embd} + bias: true + epsilon: 1e-5 + ffn_norm: + component_key: layer_norm + variant_key: rms_norm + config: + ndim: ${model_raw.config.n_embd} + bias: true + epsilon: 1e-5 + lm_head_norm: + component_key: layer_norm + variant_key: rms_norm + config: + ndim: ${model_raw.config.n_embd} + bias: true + epsilon: 1e-5 + +scheduler: + component_key: scheduler + variant_key: onecycle_lr + config: + optimizer: + instance_key: optimizer + pass_type: BY_REFERENCE + max_lr: 6e-4 + div_factor: 10 + final_div_factor: 1 + total_steps: 16 + pct_start: 0.01 + anneal_strategy: cos + +optimizer: + component_key: optimizer + variant_key: adam_w + config: + lr: 0.0001 + betas: [0.9, 0.95] + eps: 1e-8 + weight_decay: 1e-1 + weight_decay_groups_excluded: [embedding, layernorm] + wrapped_model: + instance_key: wrapped_model + pass_type: BY_REFERENCE + +gradient_clipper: + component_key: gradient_clipper + variant_key: fsdp + config: + wrapped_model: + instance_key: wrapped_model + pass_type: BY_REFERENCE + norm_type: P2_NORM + max_norm: 1.0 + +batch_progress_subscriber: + component_key: progress_subscriber + variant_key: rich + config: + local_rank: ${settings.cuda_env.local_rank} + global_num_seen_steps: + component_key: number_conversion + variant_key: num_steps_from_num_tokens + config: + num_ranks: ${settings.cuda_env.world_size} + local_micro_batch_size: ${settings.training.local_train_micro_batch_size} + global_num_tokens: ${settings.training.global_num_seen_tokens} + sequence_length: ${settings.training.sequence_length} + gradient_acc_steps: ${settings.training.gradient_acc_steps} + train_dataloader: + instance_key: train_dataloader + pass_type: BY_REFERENCE + eval_dataloaders: + instance_key: eval_dataloaders + pass_type: BY_REFERENCE + +evaluation_subscriber: + component_key: results_subscriber + variant_key: wandb + config: + local_rank: ${settings.cuda_env.local_rank} + project: modalities_lorem_ipsum + mode: ONLINE + experiment_id: ${settings.experiment_id} + directory: "." + config_file_path: ${settings.config_file_path} diff --git a/src/modalities/config/config.py b/src/modalities/config/config.py index c1f62ed4..4282662d 100644 --- a/src/modalities/config/config.py +++ b/src/modalities/config/config.py @@ -269,6 +269,7 @@ class PackedMemMapDatasetContinuousConfig(BaseModel): raw_data_path: Path sequence_length: Annotated[int, Field(strict=True, gt=1)] sample_key: str + reuse_last_target: Optional[bool] = True class PackedMemMapDatasetMegatronConfig(BaseModel): diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index 1730971f..06ea9103 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -180,8 +180,9 @@ def __getitem__(self, idx: int) -> BatchEncoding: class PackedMemMapDatasetContinuous(PackedMemMapDatasetBase): - def __init__(self, raw_data_path: Path, sample_key: str, block_size: int): + def __init__(self, raw_data_path: Path, sample_key: str, block_size: int, reuse_last_target: bool): self.block_size = block_size + self.reuse_last_target = reuse_last_target super().__init__(raw_data_path=raw_data_path, sample_key=sample_key) def _generate_packing_index(self) -> List[Tuple[int, int]]: @@ -194,17 +195,28 @@ def _generate_packing_index(self) -> List[Tuple[int, int]]: ) if self.block_size < 2: raise ValueError("Block size must be at least 2.") - # Given a fixed number of samples we can compute the total number of tokens as - # num_tokens = block_size + (block_size-1) * (num_samples-1) - # as the first sample always needs block_size many tokens and the following samples - # each need block_size-1 many tokens (since we can reuse the last target token as the first input token - # of the subsequent sample). - num_samples = (total_tokens - self.block_size) // (self.block_size - 1) + 1 - # given num_samples we calculate the starting index and length of each sample as tuple. - return [ - ((i * self.block_size - i) * self._token_size_in_bytes, self.block_size * self._token_size_in_bytes) - for i in range(num_samples) - ] + + if self.reuse_last_target: + # In this case we reuse the last target token as the first input token + # of the subsequent sample. Therfore, given a fixed number of samples we can compute the total number of tokens as + # num_tokens = block_size + (block_size-1) * (num_samples-1) + # as the first sample always needs block_size many tokens and the following samples + # each need block_size-1 many tokens (). + num_samples = (total_tokens - self.block_size) // (self.block_size - 1) + 1 + # given num_samples we calculate the starting index and length of each sample as tuple. + packing_index = [ + ((i * self.block_size - i) * self._token_size_in_bytes, self.block_size * self._token_size_in_bytes) + for i in range(num_samples) + ] + else: + # In this case, we do NOT reuse the last target tokes as the first input token of the subsequent sample + num_samples = total_tokens // self.block_size + packing_index = [ + ((i * self.block_size) * self._token_size_in_bytes, self.block_size * self._token_size_in_bytes) + for i in range(num_samples) + ] + + return packing_index class PackedMemMapDatasetMegatron(PackedMemMapDatasetBase): diff --git a/src/modalities/dataloader/dataset_factory.py b/src/modalities/dataloader/dataset_factory.py index 990ffb22..a8d0db9c 100644 --- a/src/modalities/dataloader/dataset_factory.py +++ b/src/modalities/dataloader/dataset_factory.py @@ -58,10 +58,10 @@ def get_mem_map_dataset( @staticmethod def get_packed_mem_map_dataset_continuous( - raw_data_path: Path, sequence_length: int, sample_key: str + raw_data_path: Path, sequence_length: int, sample_key: str, reuse_last_target: bool ) -> PackedMemMapDatasetContinuous: dataset = PackedMemMapDatasetContinuous( - raw_data_path=raw_data_path, block_size=sequence_length + 1, sample_key=sample_key + raw_data_path=raw_data_path, block_size=sequence_length + 1, sample_key=sample_key, reuse_last_target=reuse_last_target ) return dataset From 25fdcd7c20ea232c04e66ebbc9e2a2d1e2e77696 Mon Sep 17 00:00:00 2001 From: rrutmann Date: Tue, 23 Jul 2024 10:44:23 +0200 Subject: [PATCH 23/70] refactor(sft): Make reuse_last_target optional --- src/modalities/dataloader/dataset.py | 2 +- src/modalities/dataloader/dataset_factory.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index 06ea9103..8a08eb69 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -180,7 +180,7 @@ def __getitem__(self, idx: int) -> BatchEncoding: class PackedMemMapDatasetContinuous(PackedMemMapDatasetBase): - def __init__(self, raw_data_path: Path, sample_key: str, block_size: int, reuse_last_target: bool): + def __init__(self, raw_data_path: Path, sample_key: str, block_size: int, reuse_last_target: bool = True): self.block_size = block_size self.reuse_last_target = reuse_last_target super().__init__(raw_data_path=raw_data_path, sample_key=sample_key) diff --git a/src/modalities/dataloader/dataset_factory.py b/src/modalities/dataloader/dataset_factory.py index a8d0db9c..c73002b8 100644 --- a/src/modalities/dataloader/dataset_factory.py +++ b/src/modalities/dataloader/dataset_factory.py @@ -58,7 +58,7 @@ def get_mem_map_dataset( @staticmethod def get_packed_mem_map_dataset_continuous( - raw_data_path: Path, sequence_length: int, sample_key: str, reuse_last_target: bool + raw_data_path: Path, sequence_length: int, sample_key: str, reuse_last_target: Optional[bool] = True ) -> PackedMemMapDatasetContinuous: dataset = PackedMemMapDatasetContinuous( raw_data_path=raw_data_path, block_size=sequence_length + 1, sample_key=sample_key, reuse_last_target=reuse_last_target From 01109e2140142761fed825d8dab93523afef3065 Mon Sep 17 00:00:00 2001 From: Richard Rutmann <97447451+rrutmann@users.noreply.github.com> Date: Tue, 23 Jul 2024 11:04:01 +0200 Subject: [PATCH 24/70] docs: Correct spelling --- src/modalities/models/components/collator_wrapper.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/models/components/collator_wrapper.py index b7e48c99..b4113497 100644 --- a/src/modalities/models/components/collator_wrapper.py +++ b/src/modalities/models/components/collator_wrapper.py @@ -34,7 +34,7 @@ def __init__( """Wraps the given collate_fn and masks the target keys if not within the given special mask tokens. Does not include both mask tokens into the loss. If you need a token to indicate the end of the assistant, use another special token for this! - Works also for the continouus dataset reading, as if the "end-include-to-loss" token is detected in the front, + Works also for the continuous dataset reading, as if the "end-include-to-loss" token is detected in the front, all tokens before are included to the loss. Throws a ValueError if the mask tokens are not found in the target or if the mask tokens are the same. From 7148e1efc409d5cd8e1007b01997ef3f630d7f02 Mon Sep 17 00:00:00 2001 From: Richard Rutmann <97447451+rrutmann@users.noreply.github.com> Date: Tue, 23 Jul 2024 12:58:29 +0200 Subject: [PATCH 25/70] Update comment Co-authored-by: Alexander Weber --- src/modalities/dataloader/dataset.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index 8a08eb69..c4dcf2fd 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -201,7 +201,8 @@ def _generate_packing_index(self) -> List[Tuple[int, int]]: # of the subsequent sample. Therfore, given a fixed number of samples we can compute the total number of tokens as # num_tokens = block_size + (block_size-1) * (num_samples-1) # as the first sample always needs block_size many tokens and the following samples - # each need block_size-1 many tokens (). + # each need block_size-1 many tokens (since we can reuse the last target token as the first input token + # of the subsequent sample for pre-training data). num_samples = (total_tokens - self.block_size) // (self.block_size - 1) + 1 # given num_samples we calculate the starting index and length of each sample as tuple. packing_index = [ From 1f36d646a186005ba9106644a8813942dcfc30ed Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 23 Jul 2024 15:39:47 +0200 Subject: [PATCH 26/70] chore: apply review changes: only single chat template, do raise error when end tmask oken before begin mask token --- .../apply_chat_template_config.yaml | 10 +- .../data_preparation/sft_create_pbin.yaml | 6 +- config_files/training/config_lorem_ipsum.yaml | 2 +- .../training/config_lorem_ipsum_sft.yaml | 333 ++++++++++++++++++ data/lorem_ipsum_sft_converted.510fe89.idx | Bin 415 -> 0 bytes data/lorem_ipsum_sft_converted.510fe89.pbin | Bin 13536 -> 0 bytes data/lorem_ipsum_sft_converted.aadd295.idx | Bin 0 -> 415 bytes ...> lorem_ipsum_sft_converted.aadd295.jsonl} | 100 +++--- data/lorem_ipsum_sft_converted.aadd295.pbin | Bin 0 -> 13426 bytes ... => sft_chat_template_config.aadd295.yaml} | 12 +- src/modalities/config/sft_config.py | 5 +- .../dataloader/apply_chat_template.py | 22 +- .../models/components/collator_wrapper.py | 23 +- tests/test_loss_masking.py | 9 +- 14 files changed, 424 insertions(+), 98 deletions(-) create mode 100644 config_files/training/config_lorem_ipsum_sft.yaml delete mode 100644 data/lorem_ipsum_sft_converted.510fe89.idx delete mode 100644 data/lorem_ipsum_sft_converted.510fe89.pbin create mode 100644 data/lorem_ipsum_sft_converted.aadd295.idx rename data/{lorem_ipsum_sft_converted.510fe89.jsonl => lorem_ipsum_sft_converted.aadd295.jsonl} (60%) create mode 100644 data/lorem_ipsum_sft_converted.aadd295.pbin rename data/{sft_chat_template_config.510fe89.yaml => sft_chat_template_config.aadd295.yaml} (80%) diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 606ccfe9..7b1b4960 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -2,7 +2,6 @@ settings: src_path: data/lorem_ipsum_sft.jsonl dst_path: data/lorem_ipsum_sft_converted.jsonl conversations_key: 'conversations' - chat_template_key: null instruction_data_transformation: role_mapping: @@ -10,9 +9,8 @@ instruction_data_transformation: human_2: User2 gpt: Assistant -# The b_include_to_loss_token, e_include_to_loss_token and eod_token are required to be part of each chat template for proper loss masking! -jinja2_chat_templates: - default: | +# The b_include_to_loss_token, e_include_to_loss_token are required to be part of each chat template for proper loss masking! +jinja2_chat_template: | {{ chat_template_data.system_instruction + '\n' }} {% for turn in conversation %} {{ turn.from + ':' }} @@ -23,11 +21,10 @@ jinja2_chat_templates: {% endif %} {{ turn.value + '\n'}} {% if turn.from == chat_template_data.assistant_role %} - {{ chat_template_data.special_tokens.e_include_to_loss_token}} {{ chat_template_data.special_tokens.e_assistant_token}} + {{ chat_template_data.special_tokens.e_include_to_loss_token}} {% endif %} {% endfor %} - {{ chat_template_data.special_tokens.eod_token }} # The key-value pairs of chat_template_data are passed to the Jinja2 template and # are not type checked for full compliance with the chat tempalate! @@ -38,4 +35,3 @@ chat_template_data: b_include_to_loss_token: ^ e_include_to_loss_token: $ e_assistant_token: ° - eod_token: <|endoftext|> diff --git a/config_files/data_preparation/sft_create_pbin.yaml b/config_files/data_preparation/sft_create_pbin.yaml index 994ff62d..6fbab4a0 100644 --- a/config_files/data_preparation/sft_create_pbin.yaml +++ b/config_files/data_preparation/sft_create_pbin.yaml @@ -1,7 +1,7 @@ settings: - src_path: ./data/lorem_ipsum_sft_converted.510fe89.jsonl - dst_path: ./data/lorem_ipsum_sft_converted.510fe89.pbin - index_path: ./data/lorem_ipsum_sft_converted.510fe89.idx + src_path: ./data/lorem_ipsum_sft_converted.aadd295.jsonl + dst_path: ./data/lorem_ipsum_sft_converted.aadd295.pbin + index_path: ./data/lorem_ipsum_sft_converted.aadd295.idx jq_pattern: .chat num_cpus: 2 eod_token: <|endoftext|> diff --git a/config_files/training/config_lorem_ipsum.yaml b/config_files/training/config_lorem_ipsum.yaml index cd29bcf6..8a8e18cf 100644 --- a/config_files/training/config_lorem_ipsum.yaml +++ b/config_files/training/config_lorem_ipsum.yaml @@ -44,7 +44,7 @@ train_dataset: component_key: dataset variant_key: packed_mem_map_dataset_continuous config: - raw_data_path: ./data/lorem_ipsum_sft_converted.510fe89.pbin + raw_data_path: ./data/lorem_ipsum_sft_converted.aadd295.pbin sequence_length: ${settings.training.sequence_length} sample_key: ${settings.referencing_keys.sample_key} diff --git a/config_files/training/config_lorem_ipsum_sft.yaml b/config_files/training/config_lorem_ipsum_sft.yaml new file mode 100644 index 00000000..8a8e18cf --- /dev/null +++ b/config_files/training/config_lorem_ipsum_sft.yaml @@ -0,0 +1,333 @@ +settings: + experiment_id: ${modalities_env:experiment_id} + config_file_path: ${modalities_env:config_file_path} + referencing_keys: + sample_key: input_ids + target_key: target_ids + training: + training_log_interval_in_steps: 2 + checkpointing_interval_in_steps: 4 + evaluation_interval_in_steps: 2 + global_num_seen_tokens: 0 + activation_checkpointing_modules: [GPT2Block] + gradient_acc_steps: 2 + local_train_micro_batch_size: 1 + sequence_length: 256 + cuda_env: + local_rank: ${cuda_env:LOCAL_RANK} + global_rank: ${cuda_env:RANK} + world_size: ${cuda_env:WORLD_SIZE} + paths: + checkpointing_path: data/checkpoints + +collate_fn: + component_key: collate_fn + variant_key: mask_loss_collator_wrapper + config: + collate_fn: + component_key: collate_fn + variant_key: gpt_2_llm_collator + config: + sample_key: ${settings.referencing_keys.sample_key} + target_key: ${settings.referencing_keys.target_key} + target_keys_to_mask: + - ${settings.referencing_keys.target_key} + loss_ignore_index: -100 + mask_tokens: + b_include_to_loss_token: ^ + e_include_to_loss_token: $ + tokenizer: + instance_key: tokenizer + pass_type: BY_REFERENCE + +train_dataset: + component_key: dataset + variant_key: packed_mem_map_dataset_continuous + config: + raw_data_path: ./data/lorem_ipsum_sft_converted.aadd295.pbin + sequence_length: ${settings.training.sequence_length} + sample_key: ${settings.referencing_keys.sample_key} + +train_dataloader: + component_key: data_loader + variant_key: default + config: + num_workers: 2 + pin_memory: true + shuffle: false + dataloader_tag: train + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + batch_sampler: + component_key: batch_sampler + variant_key: default + config: + batch_size: ${settings.training.local_train_micro_batch_size} + drop_last: true + sampler: + component_key: sampler + variant_key: distributed_sampler + config: + rank: ${settings.cuda_env.global_rank} + num_replicas: ${settings.cuda_env.world_size} + shuffle: true + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + collate_fn: + instance_key: collate_fn + pass_type: BY_REFERENCE + +val_dataloader: + component_key: data_loader + variant_key: default + config: + num_workers: 2 + pin_memory: true + shuffle: false + dataloader_tag: "val" + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + batch_sampler: + component_key: batch_sampler + variant_key: default + config: + batch_size: 4 + drop_last: true + sampler: + component_key: sampler + variant_key: distributed_sampler + config: + rank: ${settings.cuda_env.global_rank} + num_replicas: ${settings.cuda_env.world_size} + shuffle: false + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + collate_fn: + instance_key: collate_fn + pass_type: BY_REFERENCE + +test_dataloader: + component_key: data_loader + variant_key: default + config: + num_workers: 2 + pin_memory: true + shuffle: false + dataloader_tag: "test" + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + batch_sampler: + component_key: batch_sampler + variant_key: default + config: + batch_size: 2 + drop_last: true + sampler: + component_key: sampler + variant_key: distributed_sampler + config: + rank: ${settings.cuda_env.global_rank} + num_replicas: ${settings.cuda_env.world_size} + shuffle: false + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + collate_fn: + instance_key: collate_fn + pass_type: BY_REFERENCE + +eval_dataloaders: + - instance_key: val_dataloader + pass_type: BY_REFERENCE + - instance_key: test_dataloader + pass_type: BY_REFERENCE + +checkpoint_saving: + component_key: checkpoint_saving + variant_key: default + config: + checkpoint_saving_strategy: + component_key: checkpoint_saving_strategy + variant_key: save_k_most_recent_checkpoints_strategy + config: + k: -1 # -1 to save all checkpoints + checkpoint_saving_execution: + component_key: checkpoint_saving_execution + variant_key: fsdp + config: + checkpoint_path: ${settings.paths.checkpointing_path} + global_rank: ${settings.cuda_env.global_rank} + experiment_id: ${settings.experiment_id} + get_num_tokens_from_num_steps_callable: + component_key: number_conversion + variant_key: num_tokens_from_num_steps_callable + config: + num_ranks: ${settings.cuda_env.world_size} + local_micro_batch_size: ${settings.training.local_train_micro_batch_size} + sequence_length: ${settings.training.sequence_length} + +# resolving class types via different enums sucks... +loss_fn: + component_key: loss + variant_key: clm_cross_entropy_loss + config: + target_key: target_ids + prediction_key: logits + +wrapped_model: + component_key: model + variant_key: fsdp_wrapped + config: + model: + instance_key: model + pass_type: BY_REFERENCE + sync_module_states: true + mixed_precision_settings: BF_16 + sharding_strategy: FULL_SHARD + block_names: [GPT2Block] + +model: + component_key: model + variant_key: model_initialized + config: + model: + instance_key: model_raw + pass_type: BY_REFERENCE + model_initializer: + component_key: model_initialization + variant_key: composed + config: + model_type: gpt2 + weight_init_type: scaled + mean: 0.0 + std: 0.02 + num_layers: ${model_raw.config.n_layer} + +model_raw: + component_key: model + variant_key: gpt2 + config: + sample_key: ${settings.referencing_keys.sample_key} + poe_type: NOPE + sequence_length: ${settings.training.sequence_length} + prediction_key: ${loss_fn.config.prediction_key} + vocab_size: 50304 # GPT-2 vocab_size of 50257, padded up to nearest multiple of 64 for efficiency + n_layer: 2 + n_head_q: 8 + n_head_kv: 4 + ffn_hidden: 128 + n_embd: 128 + dropout: 0.0 + bias: true # True: bias in Linears and LayerNorms, like GPT-2. False: a bit better and faster + attention_config: + qkv_transforms: + - type_hint: RotaryTransform + config: + n_embd: ${model_raw.config.n_embd} + n_head: ${model_raw.config.n_head_q} #it has to be head_q here + seq_length_dim: -2 + attention_implementation: manual + activation_type: swiglu + attention_norm: + component_key: layer_norm + variant_key: rms_norm + config: + ndim: ${model_raw.config.n_embd} + bias: true + epsilon: 1e-5 + ffn_norm: + component_key: layer_norm + variant_key: rms_norm + config: + ndim: ${model_raw.config.n_embd} + bias: true + epsilon: 1e-5 + lm_head_norm: + component_key: layer_norm + variant_key: rms_norm + config: + ndim: ${model_raw.config.n_embd} + bias: true + epsilon: 1e-5 + +tokenizer: + component_key: tokenizer + variant_key: pretrained_hf_tokenizer + config: + pretrained_model_name_or_path: data/tokenizer/hf_gpt2 + padding: false + truncation: false + +scheduler: + component_key: scheduler + variant_key: onecycle_lr + config: + optimizer: + instance_key: optimizer + pass_type: BY_REFERENCE + max_lr: 6e-4 + div_factor: 10 + final_div_factor: 1 + total_steps: 16 + pct_start: 0.01 + anneal_strategy: cos + +optimizer: + component_key: optimizer + variant_key: adam_w + config: + lr: 0.0001 + betas: [0.9, 0.95] + eps: 1e-8 + weight_decay: 1e-1 + weight_decay_groups_excluded: [embedding, layernorm] + wrapped_model: + instance_key: wrapped_model + pass_type: BY_REFERENCE + +gradient_clipper: + component_key: gradient_clipper + variant_key: fsdp + config: + wrapped_model: + instance_key: wrapped_model + pass_type: BY_REFERENCE + norm_type: P2_NORM + max_norm: 1.0 + +batch_progress_subscriber: + component_key: progress_subscriber + variant_key: rich + config: + global_rank: ${settings.cuda_env.global_rank} + global_num_seen_steps: + component_key: number_conversion + variant_key: num_steps_from_num_tokens + config: + num_ranks: ${settings.cuda_env.world_size} + local_micro_batch_size: ${settings.training.local_train_micro_batch_size} + global_num_tokens: ${settings.training.global_num_seen_tokens} + sequence_length: ${settings.training.sequence_length} + gradient_acc_steps: ${settings.training.gradient_acc_steps} + train_dataloader: + instance_key: train_dataloader + pass_type: BY_REFERENCE + eval_dataloaders: + instance_key: eval_dataloaders + pass_type: BY_REFERENCE + +evaluation_subscriber: + component_key: results_subscriber + variant_key: wandb + config: + global_rank: ${settings.cuda_env.global_rank} + project: modalities_lorem_ipsum + mode: OFFLINE + experiment_id: ${settings.experiment_id} + directory: "." + config_file_path: ${settings.config_file_path} diff --git a/data/lorem_ipsum_sft_converted.510fe89.idx b/data/lorem_ipsum_sft_converted.510fe89.idx deleted file mode 100644 index 9a603c5efb242e445c06292deeee8e370dec2047..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 415 zcmZo*nL34$0SscNXm~UDwlKF%@oi=HwPOL&N7#LLf#`Z3-+3T$IRW1s5Zx{8yAC97 zCE+^Qj%>mIaioUNvw7!~e6NuiV1vCmsTj=@PgZLFjzPmxRiMj85koXlV-&_#w zWaqmcB>u_CcP@yY;O?6XqW^jOz6Q~+0(_f6bY3XLye|F7(Va0x3{IY7YZ$UiOe6%;RmPZ z^q%LO_jy11+}qR1#l-ld_`gwUgK1DFs|4VnccxycZvzFsmc}pg%NjW}t1e52srCao z9vpS55t!`ONGI9rx07_DS<2uZ_{dlsQ4Xh*F=WkXLh4LiPzstHg{5X6z9W%r55K-B zyA7gveeCK+r3)IQTMyRPan@4kyZ#&i=&^lcWh-)&WL(vfr;Ljsu-AnAB1K^*)KC*` zwr1fzPn%UTNje8hq8_+`R`A(XN2-oIjkRqFQK>5T0~+7|_fu5T4(ki1B&+1|$ZfEH zdaX%^4zC9s(p_geY#6JNT|=S}q5vj3JAJ74VLrZes^kTY?T@nuA(d3+YMM%#q&d($ zLGh`i4H@Z`M<}N=d{ArBNWHwy;(<549bO$*VJj@75nSOguCYr#6x{*enfuG)<7rX2 zqygNI#BDBj{-F?ZzT_7ACg@QK^V)~^zWDH!E zd~hMZ#TQ?bMaQv(2-G@M^1PG$&1<7lB5lkhq!hyPiQFj6&aTFt#-pY_QzcjB zqo)3h7R?etTZ-Hv%CmrbIFE$oO>iDp+Gv?7+sMj; 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How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is up?`\nAssistant:^Hello! How can I help you today?\n$\u00b0User1:Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n$\u00b0User2:Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n$\u00b0<|endoftext|>"} -{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n$\u00b0User1:Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n$\u00b0<|endoftext|>"} -{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n$\u00b0User1:Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n$\u00b0User2:That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n$\u00b0User1:Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n$\u00b0<|endoftext|>"} -{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n$\u00b0User1:No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n$\u00b0<|endoftext|>"} -{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n$\u00b0User1:I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n$\u00b0<|endoftext|>"} -{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 10, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is up?`\nAssistant:^Hello! How can I help you today?\n$\u00b0User1:Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n$\u00b0User2:Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n$\u00b0<|endoftext|>"} -{"id": 11, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n$\u00b0User1:Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n$\u00b0<|endoftext|>"} -{"id": 12, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n$\u00b0User1:Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n$\u00b0User2:That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 13, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n$\u00b0User1:Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n$\u00b0<|endoftext|>"} -{"id": 14, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n$\u00b0User1:No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n$\u00b0<|endoftext|>"} -{"id": 15, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n$\u00b0User1:I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n$\u00b0<|endoftext|>"} -{"id": 16, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 17, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 18, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 19, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 20, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is up?`\nAssistant:^Hello! How can I help you today?\n$\u00b0User1:Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n$\u00b0User2:Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n$\u00b0<|endoftext|>"} -{"id": 21, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n$\u00b0User1:Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n$\u00b0<|endoftext|>"} -{"id": 22, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n$\u00b0User1:Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n$\u00b0User2:That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 23, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n$\u00b0User1:Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n$\u00b0<|endoftext|>"} -{"id": 24, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n$\u00b0User1:No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n$\u00b0<|endoftext|>"} -{"id": 25, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n$\u00b0User1:I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n$\u00b0<|endoftext|>"} -{"id": 26, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 27, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 28, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 29, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 30, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is up?`\nAssistant:^Hello! How can I help you today?\n$\u00b0User1:Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n$\u00b0User2:Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n$\u00b0<|endoftext|>"} -{"id": 31, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n$\u00b0User1:Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n$\u00b0<|endoftext|>"} -{"id": 32, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n$\u00b0User1:Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n$\u00b0User2:That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 33, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n$\u00b0User1:Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n$\u00b0<|endoftext|>"} -{"id": 34, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n$\u00b0User1:No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n$\u00b0<|endoftext|>"} -{"id": 35, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n$\u00b0User1:I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n$\u00b0<|endoftext|>"} -{"id": 36, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 37, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 38, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 39, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 40, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is up?`\nAssistant:^Hello! How can I help you today?\n$\u00b0User1:Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n$\u00b0User2:Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n$\u00b0<|endoftext|>"} -{"id": 41, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n$\u00b0User1:Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n$\u00b0<|endoftext|>"} -{"id": 42, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n$\u00b0User1:Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n$\u00b0User2:That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 43, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n$\u00b0User1:Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n$\u00b0<|endoftext|>"} -{"id": 44, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n$\u00b0User1:No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n$\u00b0<|endoftext|>"} -{"id": 45, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n$\u00b0User1:I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n$\u00b0<|endoftext|>"} -{"id": 46, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 47, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 48, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} -{"id": 49, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1:What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n$\u00b0User1:Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n$\u00b0<|endoftext|>"} +{"id": 0, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n\u00b0$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n\u00b0$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n\u00b0$"} +{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n\u00b0$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n\u00b0$"} +{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n\u00b0$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n\u00b0$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n\u00b0$"} +{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n\u00b0$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n\u00b0$"} +{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n\u00b0$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n\u00b0$"} +{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n\u00b0$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n\u00b0$"} +{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 10, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n\u00b0$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n\u00b0$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n\u00b0$"} +{"id": 11, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n\u00b0$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n\u00b0$"} +{"id": 12, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n\u00b0$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n\u00b0$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n\u00b0$"} +{"id": 13, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n\u00b0$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n\u00b0$"} +{"id": 14, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n\u00b0$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n\u00b0$"} +{"id": 15, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n\u00b0$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n\u00b0$"} +{"id": 16, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 17, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 18, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 19, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 20, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n\u00b0$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n\u00b0$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n\u00b0$"} +{"id": 21, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n\u00b0$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n\u00b0$"} +{"id": 22, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n\u00b0$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n\u00b0$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n\u00b0$"} +{"id": 23, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n\u00b0$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n\u00b0$"} +{"id": 24, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n\u00b0$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n\u00b0$"} +{"id": 25, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n\u00b0$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n\u00b0$"} +{"id": 26, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 27, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 28, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 29, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 30, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n\u00b0$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n\u00b0$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n\u00b0$"} +{"id": 31, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n\u00b0$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n\u00b0$"} +{"id": 32, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n\u00b0$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n\u00b0$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n\u00b0$"} +{"id": 33, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n\u00b0$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n\u00b0$"} +{"id": 34, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n\u00b0$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n\u00b0$"} +{"id": 35, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n\u00b0$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n\u00b0$"} +{"id": 36, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 37, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 38, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 39, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 40, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n\u00b0$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n\u00b0$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n\u00b0$"} +{"id": 41, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n\u00b0$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n\u00b0$"} +{"id": 42, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n\u00b0$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n\u00b0$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n\u00b0$"} +{"id": 43, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n\u00b0$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n\u00b0$"} +{"id": 44, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n\u00b0$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n\u00b0$"} +{"id": 45, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n\u00b0$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n\u00b0$"} +{"id": 46, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 47, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 48, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n\u00b0$"} +{"id": 49, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n\u00b0$"} diff --git a/data/lorem_ipsum_sft_converted.aadd295.pbin b/data/lorem_ipsum_sft_converted.aadd295.pbin new file mode 100644 index 0000000000000000000000000000000000000000..6bee99234a12a13535668c2128ddb1ad039f5603 GIT binary patch literal 13426 zcmeHOTTE0(7@mL5*|W=@J=}I#7T8_z2nr}DD5g@yE0%S45eaPAh+wNgW3Z`K4JkI# zdZqTF7O%0bwvDz)H72&zHeOzgnn;b;rbVNvCem1IYSU_B6YM`{*e=whF_HSv3=a%5 zd*+*&@4xJKW`-+;#Q353yGdCEGoema3BVCgtzM?@1O>j9CM_tGHF9)zUAhi4;tyxK zvDKkg!gQBLPLQt(<4Fqfn@gYvykr8lD92LBc(QgJA$6usCKgn=Qz0Y?! zRzVn_k38L^bV7r4uXlVMdo6*!CoYEgI#*yXopP`G_pT83;_yYqH|J)d-`)RSX0Tf8k-$w4gxBv$kMQNu{0N2Co5i+ ztU@;K$fK1Dsa^<~G*T~bu(;tZPlrdxQP>DAv=T=+hGXoPkA`={8S}ubcfAsZYZ}1A z%IJzq9e*ft`gN*6PEvGzXR*e7EGaogUb;gi zDm`b_!D&-TNV3hZ9@UDL%PX&hYV$}a%U8)|SM?B;C~&jP3vIZ{->fz%MbhRpLW&_MpUw)yoQx`*Y1Cut(^PU(K4}^_ zPw|^8aU}(=0Oj7#t(#4P@)qdAaW-3K$TqSfCS<}jB7>daLavWdH)PBA;f@U0H$>av zw#xix8phGT`wfdBRVr`=GXwPDIE^Go?NFK;pjTa0r2S(ztfL1^1unm)gSj!n*OSEp zi+Tm7*u0Qnk9x=1-j)(Lff<7NWwY4_TWA+%mNv8;dW%IPBqI#(DSkT7h@@y{Xz67` zQwq&)c*S;mZq#$AT!|hRvR_o{L8S{NH}p^)&Z8ZRpey#FU9;0BL2DqSUm=o(rI2Q@bP zZj5mqeH37&-3wXq0s3dGN=j2%Yq#xOGG9e2J%YK@qt(O3)Wvy`+4F3YofZZkBK_1S zpF|=%@Eo62CyYY7G|yrgFdE;j)`5?2=KXx#wbrtvN7-PljENNq0Q(ACFzdaY#5h?; zvz2W|B&4S<$Ca=cX{F41J=94TxO}kDw%LNYAyJ22yB?o`cV~_@dBI5^no3}-;={kb zjeA+Lk>~TD9uw5!gV9Zoa>3gf8>i8GsHFkFH?CSuBX%AIb6eiR(lpWR@;bsx)h(fEA&cd1MkSX~f6?57p^A6Mq+oVqPl$Fwpwj%V6`=2@K z`#DT!RKbr47&Ebt&&TU)*oZ0UC!gARHLzYvH?Zn5 zIM&ud2FR diff --git a/src/modalities/config/sft_config.py b/src/modalities/config/sft_config.py index 8e79a895..8fce39e5 100644 --- a/src/modalities/config/sft_config.py +++ b/src/modalities/config/sft_config.py @@ -1,5 +1,5 @@ from pathlib import Path -from typing import Any, Dict, Optional +from typing import Any, Dict from pydantic import BaseModel, FilePath @@ -8,7 +8,6 @@ class Settings(BaseModel): src_path: FilePath dst_path: Path conversations_key: str - chat_template_key: Optional[str] = None class InstructionDataTransformation(BaseModel): @@ -18,5 +17,5 @@ class InstructionDataTransformation(BaseModel): class SFTConfig(BaseModel): settings: Settings instruction_data_transformation: InstructionDataTransformation - jinja2_chat_templates: Dict[str, str] + jinja2_chat_template: str chat_template_data: Dict[str, Any] diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index bb29b70e..1ba858be 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -16,8 +16,7 @@ def apply_chat_template(config_file_path: Path): config_dict = load_app_config_dict(config_file_path=config_file_path) config = SFTConfig(**config_dict) instruction_data = _stream_jsonl(config.settings.src_path) - chat_template_key = config.settings.chat_template_key - chat_templates = get_chat_templates(config.jinja2_chat_templates) + chat_template = get_chat_template(config.jinja2_chat_template) dst_path = Path(config.settings.dst_path) # similar to github only use the first 7 characters of the hash for readability @@ -28,14 +27,7 @@ def apply_chat_template(config_file_path: Path): for entry in instruction_data: conversation = entry[config.settings.conversations_key] conversation = map_roles(conversation, config.instruction_data_transformation.role_mapping) - if chat_template_key in entry: - chat_template = chat_templates[entry[chat_template_key]] - else: - chat_template = chat_templates["default"] - chat = chat_template.render(conversation=conversation, chat_template_data=config.chat_template_data) - if not all(special_token in chat for special_token in config.chat_template_data["special_tokens"].values()): - raise ValueError("Not all special tokens are present in the chat template!") entry["chat"] = chat json.dump(entry, output_file) output_file.write("\n") @@ -56,12 +48,12 @@ def store_config_file_with_hash(config_file_path: Path, dst_path: Path, uuid_str shutil.copyfile(config_file_path, out_config_file_path) -def get_chat_templates(jinja2_chat_templates: Dict[str, str]) -> Dict[str, Template]: - chat_templates = {} - for key, template_string in jinja2_chat_templates.items(): - chat_template = template_string.replace("}\n{", "}{") - chat_templates[key] = _compile_jinja_template(chat_template) - return chat_templates +def get_chat_template(jinja2_chat_template: str) -> Template: + # yaml adds a newline character when using the multiline "|" indicator. (with ">" it would add spaces instead) + # we need to remove those + chat_template = jinja2_chat_template.replace("}\n{", "}{") + compiled_chat_template = _compile_jinja_template(chat_template) + return compiled_chat_template def map_roles(conversation: List[Dict[str, Any]], role_mapping: Dict[str, str]) -> List[Dict[str, Any]]: diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/models/components/collator_wrapper.py index b4113497..eb372e70 100644 --- a/src/modalities/models/components/collator_wrapper.py +++ b/src/modalities/models/components/collator_wrapper.py @@ -45,6 +45,10 @@ def __init__( self.tokenizer = tokenizer self.b_mask_token_id = self.tokenizer.get_token_id(mask_tokens.b_include_to_loss_token) self.e_mask_token_id = self.tokenizer.get_token_id(mask_tokens.e_include_to_loss_token) + if self.b_mask_token_id == self.e_mask_token_id: + raise ValueError( + "b_mask_token_id and e_mask_token_id of the " + "LossMaskingCollateFnWrapper must be different!" + ) def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: dataset_batch = self.collate_fn(batch) @@ -63,9 +67,6 @@ def _mask_target( self, target: torch.Tensor, b_mask_token_id: int, e_mask_token_id: int, loss_ignore_index: int ) -> torch.Tensor: error_msg = "" - - if b_mask_token_id == e_mask_token_id: - error_msg += "b_mask_token_id and e_mask_token_id must be different! " if b_mask_token_id not in target: error_msg += "b_mask_token_id not found in target " if e_mask_token_id not in target: @@ -88,12 +89,26 @@ def _mask_target( # in case -1 (end mask token indicator) is before 1 (begin mask token indicator) we need to # include the first tokens to the loss end_before_begin = torch.argmax(mask, dim=-1, keepdim=True) > torch.argmin(mask, dim=-1, keepdim=True) - mask[:, 0] = end_before_begin.squeeze() + if end_before_begin.any(): + raise ValueError( + "end mask token indicator is before begin mask token indicator in the target. " + + "This is not supported by the LossMaskingCollateFnWrapper." + + "Make sure to use padding and truncation with the tokenizer for PackedMemMapDatasetContinuous" + ) + # note: to enable splitted assistant answers uncomment: + # mask[:, 0] = end_before_begin.squeeze(-1) # mark all tokens beween 1 (begin mask token indicator) and -1 (end mask token indicator) with 1 # this includes the 1, but due to the shift above, we exclude both! include_to_loss_mask = mask.cumsum(-1) + # TODO check that we have the mask with values between -1 and 1, otherwise the tokens would not be alternating + if (mask > 1).any() or (mask < -1).any(): + raise ValueError( + "Masking tokens are not alternating in the target. " + + "This is not supported by the LossMaskingCollateFnWrapper." + ) + # apply mask: if mask is 1, keep the target, otherwise replace with loss_ignore_index new_target = torch.where(include_to_loss_mask.bool(), target, loss_ignore_index) return new_target diff --git a/tests/test_loss_masking.py b/tests/test_loss_masking.py index dffe5a1a..e4f60e79 100644 --- a/tests/test_loss_masking.py +++ b/tests/test_loss_masking.py @@ -47,20 +47,13 @@ def loss_masking_config(dummy_tokenizer) -> LossMaskingCollateFnWrapperConfig: # shifted target: [5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1] # masked shifted target: [-100, -100, 5, 5, -100, -100, -100, 5, -100, -100, -100, -100, -100, -100] {"sample": torch.Tensor([5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1])}, - # shifted sample: [5, 5, 1, 5, 0, 5, 5, 5, 1, 5, 5, 5, 5, 5] - # shifted target: [5, 1, 5, 0, 5, 5, 5, 1, 5, 5, 5, 5, 5, 5] - # masked shifted target: [5, -100, -100, -100, 5, 5, 5, -100, -100, -100, -100, -100, -100, -100] - {"sample": torch.Tensor([5, 5, 1, 5, 0, 5, 5, 5, 1, 5, 5, 5, 5, 5, 5])}, ], # the expected batch is shifted and masked for loss computation! DatasetBatch( targets={ "target": torch.Tensor( [ - # expected case [-100, -100, 5, 5, -100, -100, -100, 5, -100, -100, -100, -100, -100, -100], - # case: if dataset splits the assisstant role across batches, Keep those tokens at the front - [5, -100, -100, -100, 5, 5, 5, -100, -100, -100, -100, -100, -100, -100], ] ) }, @@ -68,7 +61,7 @@ def loss_masking_config(dummy_tokenizer) -> LossMaskingCollateFnWrapperConfig: # not needed for the test }, ), - ) + ), ], ) def test_loss_masking(loss_masking_config, batch, expected_batch): From 0f49355d34d82f60df5e0ec10235f2b31a9f8500 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 23 Jul 2024 16:00:05 +0200 Subject: [PATCH 27/70] chore: run loss masking with padded and truncated pbin file. Refine error messages. --- .../packed_chat_dataset_config.yaml | 6 +++--- .../data_preparation/sft_create_pbin.yaml | 19 ------------------ .../training/config_lorem_ipsum_sft.yaml | 2 +- data/lorem_ipsum_sft_converted.aadd295.pbin | Bin 13426 -> 205395 bytes .../models/components/collator_wrapper.py | 13 ++++++------ 5 files changed, 10 insertions(+), 30 deletions(-) delete mode 100644 config_files/data_preparation/sft_create_pbin.yaml diff --git a/config_files/data_preparation/packed_chat_dataset_config.yaml b/config_files/data_preparation/packed_chat_dataset_config.yaml index bedc5eb3..79b2c78c 100644 --- a/config_files/data_preparation/packed_chat_dataset_config.yaml +++ b/config_files/data_preparation/packed_chat_dataset_config.yaml @@ -1,7 +1,7 @@ settings: - src_path: data/lorem_ipsum_sft_converted.jsonl - dst_path: data/lorem_ipsum_sft_converted.pbin - index_path: data/lorem_ipsum_sft_converted.idx + src_path: data/lorem_ipsum_sft_converted.aadd295.jsonl + dst_path: data/lorem_ipsum_sft_converted.aadd295.pbin + index_path: data/lorem_ipsum_sft_converted.aadd295.idx jq_pattern: .chat num_cpus: 1 eod_token: <|endoftext|> diff --git a/config_files/data_preparation/sft_create_pbin.yaml b/config_files/data_preparation/sft_create_pbin.yaml deleted file mode 100644 index 6fbab4a0..00000000 --- a/config_files/data_preparation/sft_create_pbin.yaml +++ /dev/null @@ -1,19 +0,0 @@ -settings: - src_path: ./data/lorem_ipsum_sft_converted.aadd295.jsonl - dst_path: ./data/lorem_ipsum_sft_converted.aadd295.pbin - index_path: ./data/lorem_ipsum_sft_converted.aadd295.idx - jq_pattern: .chat - num_cpus: 2 - eod_token: <|endoftext|> - processing_batch_size: 1000 - raw_samples_queue_size: 300 - processed_samples_queue_size: 300 - - -tokenizer: - component_key: tokenizer - variant_key: pretrained_hf_tokenizer - config: - pretrained_model_name_or_path: ./data/tokenizer/hf_gpt2 - padding: false - truncation: false diff --git 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b/src/modalities/models/components/collator_wrapper.py @@ -68,16 +68,15 @@ def _mask_target( ) -> torch.Tensor: error_msg = "" if b_mask_token_id not in target: - error_msg += "b_mask_token_id not found in target " + error_msg += "b_mask_token_id not found in target." if e_mask_token_id not in target: - error_msg += "e_mask_token_id not found in target " + error_msg += "e_mask_token_id not found in target." if error_msg: raise ValueError( - "Error in masking tokens for loss computation." - + "Make sure the tokenizer tokenized as expected. Frequent source of error: ' ' and ''" - + "Please check the following: " - + error_msg - + error_msg + f"{error_msg} in masking tokens for loss computation. " + + "Make sure the tokenizer tokenizes as expected. " + + "Frequent source of error is the tokenization of spaces: " + + "e.g. ' ' and '' are different tokens." ) mask = torch.zeros_like(target) From bf2f1a3e3a13d3ded8bad41652465e9e7ad71789 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 23 Jul 2024 16:02:18 +0200 Subject: [PATCH 28/70] chore: restore original lorem ipsum config, as we have our own sft config --- config_files/training/config_lorem_ipsum.yaml | 31 +++---------------- 1 file changed, 5 insertions(+), 26 deletions(-) diff --git a/config_files/training/config_lorem_ipsum.yaml b/config_files/training/config_lorem_ipsum.yaml index 8a8e18cf..1bb151c6 100644 --- a/config_files/training/config_lorem_ipsum.yaml +++ b/config_files/training/config_lorem_ipsum.yaml @@ -22,29 +22,16 @@ settings: collate_fn: component_key: collate_fn - variant_key: mask_loss_collator_wrapper + variant_key: gpt_2_llm_collator config: - collate_fn: - component_key: collate_fn - variant_key: gpt_2_llm_collator - config: - sample_key: ${settings.referencing_keys.sample_key} - target_key: ${settings.referencing_keys.target_key} - target_keys_to_mask: - - ${settings.referencing_keys.target_key} - loss_ignore_index: -100 - mask_tokens: - b_include_to_loss_token: ^ - e_include_to_loss_token: $ - tokenizer: - instance_key: tokenizer - pass_type: BY_REFERENCE + sample_key: ${settings.referencing_keys.sample_key} + target_key: ${settings.referencing_keys.target_key} train_dataset: component_key: dataset variant_key: packed_mem_map_dataset_continuous config: - raw_data_path: ./data/lorem_ipsum_sft_converted.aadd295.pbin + raw_data_path: ./data/lorem_ipsum.pbin sequence_length: ${settings.training.sequence_length} sample_key: ${settings.referencing_keys.sample_key} @@ -255,14 +242,6 @@ model_raw: bias: true epsilon: 1e-5 -tokenizer: - component_key: tokenizer - variant_key: pretrained_hf_tokenizer - config: - pretrained_model_name_or_path: data/tokenizer/hf_gpt2 - padding: false - truncation: false - scheduler: component_key: scheduler variant_key: onecycle_lr @@ -327,7 +306,7 @@ evaluation_subscriber: config: global_rank: ${settings.cuda_env.global_rank} project: modalities_lorem_ipsum - mode: OFFLINE + mode: ONLINE experiment_id: ${settings.experiment_id} directory: "." config_file_path: ${settings.config_file_path} From 76b34abacfa486f17c6ac18a813df93a82bdfb06 Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Thu, 11 Jul 2024 10:00:12 +0200 Subject: [PATCH 29/70] feat: added fixed number of elements to ResumableBatchSampler --- src/modalities/dataloader/samplers.py | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/src/modalities/dataloader/samplers.py b/src/modalities/dataloader/samplers.py index c5ab2699..a21d171b 100644 --- a/src/modalities/dataloader/samplers.py +++ b/src/modalities/dataloader/samplers.py @@ -1,21 +1,31 @@ +from typing import Optional + from torch.utils.data import BatchSampler, Sampler class ResumableBatchSampler(Sampler): - def __init__(self, start_index: int, underlying_batch_sampler: BatchSampler): + def __init__( + self, start_index: int, underlying_batch_sampler: BatchSampler, max_num_elements: Optional[int] = None + ): """Sampler which starts at a specified batch index and continues sampling for for a given sampler. Works with normal samplers and BatchSamplers. Args: start_index (int): index to start sampling from existing_sampler (Sampler): Sampler from which we want to continue + max_num_elements (Optional[int]): The maximum number of elements the sampler returns. Default None. """ self.start_index = start_index + self.max_num_elements = max_num_elements self.underlying_batch_sampler = underlying_batch_sampler # NOTE: we are only iterating ove the indices not the actual data # so this is relatively cheap self.indices = list(iter(self.underlying_batch_sampler)) + # We discard the samples that come after max_num_elements + # NOTE, that skipping is implemented in __iter__ and __len__. + if self.max_num_elements is not None: + self.indices = self.indices[:max_num_elements] def __iter__(self): return iter(self.indices[self.start_index :]) From 2f4bdb2aff36d26adadda41fdfbf21ac5e011d0b Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Thu, 11 Jul 2024 10:00:36 +0200 Subject: [PATCH 30/70] feat: added fixed number of batches to dataloader --- config_files/training/config_lorem_ipsum.yaml | 12 +++++++++++- src/modalities/dataloader/dataloader_factory.py | 17 ++++++++++++++++- 2 files changed, 27 insertions(+), 2 deletions(-) diff --git a/config_files/training/config_lorem_ipsum.yaml b/config_files/training/config_lorem_ipsum.yaml index 1bb151c6..f66b5893 100644 --- a/config_files/training/config_lorem_ipsum.yaml +++ b/config_files/training/config_lorem_ipsum.yaml @@ -9,6 +9,7 @@ settings: checkpointing_interval_in_steps: 4 evaluation_interval_in_steps: 2 global_num_seen_tokens: 0 + global_num_train_tokens: 1000 activation_checkpointing_modules: [GPT2Block] gradient_acc_steps: 2 local_train_micro_batch_size: 1 @@ -42,7 +43,16 @@ train_dataloader: num_workers: 2 pin_memory: true shuffle: false - dataloader_tag: train + dataloader_tag: "train" + fixed_num_batches: + component_key: number_conversion + variant_key: num_steps_from_num_tokens + config: + num_ranks: ${settings.cuda_env.world_size} + local_micro_batch_size: ${settings.training.local_train_micro_batch_size} + global_num_tokens: ${settings.training.global_num_train_tokens} + sequence_length: ${settings.training.sequence_length} + gradient_acc_steps: ${settings.training.gradient_acc_steps} dataset: instance_key: train_dataset pass_type: BY_REFERENCE diff --git a/src/modalities/dataloader/dataloader_factory.py b/src/modalities/dataloader/dataloader_factory.py index 006bf11d..f3398821 100644 --- a/src/modalities/dataloader/dataloader_factory.py +++ b/src/modalities/dataloader/dataloader_factory.py @@ -5,6 +5,7 @@ from modalities.dataloader.dataloader import LLMDataLoader, RepeatingDataLoader from modalities.dataloader.samplers import ResumableBatchSampler +from modalities.exceptions import ConfigError class DataloaderFactory: @@ -18,6 +19,7 @@ def get_dataloader( pin_memory: bool, shuffle: bool, skip_num_batches: Optional[int] = 0, + fixed_num_batches: Optional[int] = None, ) -> LLMDataLoader: """Factory method for the instantiation of LLMDataLoader @@ -34,11 +36,23 @@ def get_dataloader( skip_num_batches must not be confused with the number of optimizer steps! skip_num_batches = num optimizer steps * gradient accumulation steps Defaults to 0. + fixed_num_batches: (int, optional): Fixed length of the dataloader by cutting off subsequent batches. + Make sure that the dataloader has at least fixed_num_batches. Defaults to None. Returns: LLMDataLoader: Instance of LLMDataLoader """ - batch_sampler = ResumableBatchSampler(start_index=skip_num_batches, underlying_batch_sampler=batch_sampler) + + batch_sampler = ResumableBatchSampler( + start_index=skip_num_batches, underlying_batch_sampler=batch_sampler, max_num_elements=fixed_num_batches + ) + + # make sure that the batch sampler has enough elements such that we can fix the number of batches to num_batches + if fixed_num_batches is not None and len(batch_sampler) < fixed_num_batches - skip_num_batches: + raise ConfigError( + f"The dataloader contains only {len(batch_sampler)} batches, which is less than " + f"specified fixed amount of batches of {fixed_num_batches}." + ) dataloader = LLMDataLoader( dataloader_tag=dataloader_tag, @@ -49,6 +63,7 @@ def get_dataloader( pin_memory=pin_memory, shuffle=shuffle, ) + return dataloader @staticmethod From 9840e0af7d3c7efd474dbde05bb178a37400a182 Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Thu, 18 Jul 2024 00:54:03 +0200 Subject: [PATCH 31/70] fix: fixed error in fixed_num_batches calculation --- src/modalities/config/config.py | 1 + src/modalities/dataloader/dataloader_factory.py | 4 +++- src/modalities/utils/number_conversion.py | 3 +-- 3 files changed, 5 insertions(+), 3 deletions(-) diff --git a/src/modalities/config/config.py b/src/modalities/config/config.py index f11e88cb..4186f88a 100644 --- a/src/modalities/config/config.py +++ b/src/modalities/config/config.py @@ -315,6 +315,7 @@ class LLMDataLoaderConfig(BaseModel): pin_memory: bool shuffle: bool skip_num_batches: Optional[int] = 0 + fixed_num_batches: Optional[int] = None class RepeatingDataLoaderConfig(BaseModel): diff --git a/src/modalities/dataloader/dataloader_factory.py b/src/modalities/dataloader/dataloader_factory.py index f3398821..01261aa6 100644 --- a/src/modalities/dataloader/dataloader_factory.py +++ b/src/modalities/dataloader/dataloader_factory.py @@ -37,7 +37,9 @@ def get_dataloader( skip_num_batches = num optimizer steps * gradient accumulation steps Defaults to 0. fixed_num_batches: (int, optional): Fixed length of the dataloader by cutting off subsequent batches. - Make sure that the dataloader has at least fixed_num_batches. Defaults to None. + Note that these are NOT the global number of batches, but the amount of batches that an + individual rank sees. Make sure that the dataloader has at least fixed_num_batches. + Defaults to None. Returns: LLMDataLoader: Instance of LLMDataLoader diff --git a/src/modalities/utils/number_conversion.py b/src/modalities/utils/number_conversion.py index 71979a9a..0e9da3a9 100644 --- a/src/modalities/utils/number_conversion.py +++ b/src/modalities/utils/number_conversion.py @@ -54,8 +54,7 @@ def get_local_num_batches_from_num_samples(num_ranks: int, global_num_samples: i def get_local_num_batches_from_num_tokens(num_ranks: int, global_num_tokens: int, sequence_length: int) -> int: """Calculates the number of local batches for each rank, given the global number of tokens and number of ranks. - This helper function is primarily used to calculate the number of batches to - skip when resuming a dataloader during warmstart. + This helper function is primarily used to calculate a dataloader's number of batches (total and to skip) Args: num_ranks (int): _description_ From 3906845440cf82ab4abfe91dcf938b08b8628e7f Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Thu, 18 Jul 2024 00:54:42 +0200 Subject: [PATCH 32/70] feat: implemented test for fixed_num_batches in dataloader --- src/modalities/dataloader/dataset.py | 15 ++++- tests/dataloader/test_dataloader.py | 58 ++++++++++++++++++- .../dataloader_with_fixed_num_batches.yaml | 56 ++++++++++++++++++ 3 files changed, 127 insertions(+), 2 deletions(-) create mode 100644 tests/dataloader/yaml_configs/dataloader_with_fixed_num_batches.yaml diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index c4dcf2fd..190fc4c4 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -1,8 +1,9 @@ from __future__ import annotations +from collections.abc import Sequence from enum import Enum from pathlib import Path -from typing import Dict, List, Optional, Tuple +from typing import Any, Dict, List, Optional, Tuple import jq import numpy as np @@ -73,6 +74,18 @@ def _create_random_sample(self): return sample +class SequenceDataset(Dataset): + def __init__(self, sequence: Sequence): + super().__init__(raw_data_path=None, sample_key=None) + self.sequence = sequence + + def __len__(self) -> int: + return len(self.sequence) + + def __getitem__(self, idx: int) -> Any: + return self.sequence[idx] + + class MemMapDataset(Dataset): def __init__( self, diff --git a/tests/dataloader/test_dataloader.py b/tests/dataloader/test_dataloader.py index bdb623c5..f8df9039 100644 --- a/tests/dataloader/test_dataloader.py +++ b/tests/dataloader/test_dataloader.py @@ -1,8 +1,9 @@ import math from pathlib import Path -from typing import Dict +from typing import Dict, List import numpy as np +import pytest import torch from pydantic import BaseModel from torch.utils.data import BatchSampler, RandomSampler, SequentialSampler @@ -11,7 +12,9 @@ from modalities.config.config import load_app_config_dict from modalities.config.pydanctic_if_types import PydanticLLMDataLoaderIFType from modalities.dataloader.dataloader import LLMDataLoader, RepeatingDataLoader +from modalities.dataloader.dataset import SequenceDataset from modalities.dataloader.samplers import ResumableBatchSampler +from modalities.models.gpt2.collator import CollateFnIF from modalities.registry.components import COMPONENTS from modalities.registry.registry import Registry @@ -223,3 +226,56 @@ class DataloaderTestModel(BaseModel): for batch_1, batch_2 in zip(batches_rank_0, batches_rank_1): assert ~(batch_1.samples["input_ids"] == batch_2.samples["input_ids"]).all() assert ~(batch_1.targets["target_ids"] == batch_2.targets["target_ids"]).all() + + +@pytest.mark.parametrize( + "global_rank", + [0, 1], +) +def test_dataloader_with_fixed_num_batches(global_rank): + class DataloaderTestModel(BaseModel): + train_dataloader: PydanticLLMDataLoaderIFType + fixed_num_batches: int + + class IdentityCollateFn(CollateFnIF): + def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> List[Dict[str, torch.Tensor]]: + return batch + + root_dir = Path(__file__).parents[0] + + config_path = root_dir / "yaml_configs/dataloader_with_fixed_num_batches.yaml" + # we inject a prebuilt dataset and collate_fn, as well as, the global rank constant from outside + dataset = SequenceDataset(list(range(1000))) + config_dict = load_app_config_dict(config_path) + config_dict["settings"]["cuda_env"]["global_rank"] = global_rank + config_dict["train_dataloader"]["config"]["batch_sampler"]["config"]["sampler"]["config"]["rank"] = global_rank + config_dict["train_dataset"] = dataset + config_dict["collate_fn"] = IdentityCollateFn() + + # build the remaining components + registry = Registry(COMPONENTS) + component_factory = ComponentFactory(registry=registry) + components: DataloaderTestModel = component_factory.build_components( + config_dict=config_dict, components_model_type=DataloaderTestModel + ) + dataloader = components.train_dataloader + + # calculate the fixed_num_batches and + # compare it with the one calculated during the component build and the dataloader length + cfg = config_dict["settings"]["training"] + world_size = config_dict["settings"]["cuda_env"]["world_size"] + calculated_fixed_num_batches = cfg["global_num_train_tokens"] // cfg["sequence_length"] // world_size + assert calculated_fixed_num_batches == components.fixed_num_batches + assert len(dataloader) == calculated_fixed_num_batches + + # We make sure that the dataloader outputs the correct batches as follows: + # The dataset contains 1000 samples (NOTE that we neglected squence_length and made each sample an integer value) + # we calculated 16 batches above per rank and have 2 ranks in total. + # Therefore the dataloader for rank 0 returns 16 ordered batches of batch_size 2. + # The batches are ordered and not shuffled as per YAML configuration. + # We expect the following output: + # [[0, 2], [4, 6], [8, 10], ..., [56, 58], [60, 62]] (global_rank=0) + # [[1, 3], [5, 7], [9, 11], ..., [57, 59], [61, 63]] (global_rank=1) + calculated_dataloader_content = np.array(list(range(global_rank, 64 + global_rank, 2))).reshape(-1, 2).tolist() + actual_dataloader_content = [i for i in dataloader] + assert calculated_dataloader_content == actual_dataloader_content diff --git a/tests/dataloader/yaml_configs/dataloader_with_fixed_num_batches.yaml b/tests/dataloader/yaml_configs/dataloader_with_fixed_num_batches.yaml new file mode 100644 index 00000000..bc3c3b0e --- /dev/null +++ b/tests/dataloader/yaml_configs/dataloader_with_fixed_num_batches.yaml @@ -0,0 +1,56 @@ +settings: + referencing_keys: + sample_key: input_ids + target_key: target_ids + training: + local_train_micro_batch_size: 2 + global_num_seen_tokens: 0 + global_num_train_tokens: 128 + sequence_length: 4 + cuda_env: + global_rank: 0 + world_size: 2 + +fixed_num_batches: + component_key: number_conversion + variant_key: local_num_batches_from_num_tokens + config: + num_ranks: ${settings.cuda_env.world_size} + global_num_tokens: ${settings.training.global_num_train_tokens} + sequence_length: ${settings.training.sequence_length} + +train_dataloader: + component_key: data_loader + variant_key: default + config: + num_workers: 2 + pin_memory: true + shuffle: false + dataloader_tag: train + skip_num_batches: 0 + fixed_num_batches: + instance_key: fixed_num_batches + pass_type: BY_REFERENCE + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + batch_sampler: + component_key: batch_sampler + variant_key: default + config: + batch_size: ${settings.training.local_train_micro_batch_size} + drop_last: true + sampler: + component_key: sampler + variant_key: distributed_sampler + config: + rank: ${settings.cuda_env.global_rank} + num_replicas: ${settings.cuda_env.world_size} + drop_last: true + shuffle: false + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + collate_fn: + instance_key: collate_fn + pass_type: BY_REFERENCE From cc57125ba768d46d8f47dff3c5a9330f257fb424 Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Thu, 18 Jul 2024 00:54:59 +0200 Subject: [PATCH 33/70] refactor: removed fixed_num_batches from config_lorem_ipsum.yaml --- config_files/training/config_lorem_ipsum.yaml | 9 --------- 1 file changed, 9 deletions(-) diff --git a/config_files/training/config_lorem_ipsum.yaml b/config_files/training/config_lorem_ipsum.yaml index f66b5893..545e6cc7 100644 --- a/config_files/training/config_lorem_ipsum.yaml +++ b/config_files/training/config_lorem_ipsum.yaml @@ -9,7 +9,6 @@ settings: checkpointing_interval_in_steps: 4 evaluation_interval_in_steps: 2 global_num_seen_tokens: 0 - global_num_train_tokens: 1000 activation_checkpointing_modules: [GPT2Block] gradient_acc_steps: 2 local_train_micro_batch_size: 1 @@ -44,14 +43,6 @@ train_dataloader: pin_memory: true shuffle: false dataloader_tag: "train" - fixed_num_batches: - component_key: number_conversion - variant_key: num_steps_from_num_tokens - config: - num_ranks: ${settings.cuda_env.world_size} - local_micro_batch_size: ${settings.training.local_train_micro_batch_size} - global_num_tokens: ${settings.training.global_num_train_tokens} - sequence_length: ${settings.training.sequence_length} gradient_acc_steps: ${settings.training.gradient_acc_steps} dataset: instance_key: train_dataset From 603b36733f9c14a9e283e866d6c0dab5fe5017f7 Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Fri, 19 Jul 2024 12:58:25 +0200 Subject: [PATCH 34/70] refactor: moved SequenceDataset to test --- src/modalities/dataloader/dataset.py | 15 +-------------- tests/dataloader/test_dataloader.py | 17 +++++++++++++++-- 2 files changed, 16 insertions(+), 16 deletions(-) diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index 190fc4c4..c4dcf2fd 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -1,9 +1,8 @@ from __future__ import annotations -from collections.abc import Sequence from enum import Enum from pathlib import Path -from typing import Any, Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple import jq import numpy as np @@ -74,18 +73,6 @@ def _create_random_sample(self): return sample -class SequenceDataset(Dataset): - def __init__(self, sequence: Sequence): - super().__init__(raw_data_path=None, sample_key=None) - self.sequence = sequence - - def __len__(self) -> int: - return len(self.sequence) - - def __getitem__(self, idx: int) -> Any: - return self.sequence[idx] - - class MemMapDataset(Dataset): def __init__( self, diff --git a/tests/dataloader/test_dataloader.py b/tests/dataloader/test_dataloader.py index f8df9039..44cb55e6 100644 --- a/tests/dataloader/test_dataloader.py +++ b/tests/dataloader/test_dataloader.py @@ -1,6 +1,7 @@ import math +from collections.abc import Sequence from pathlib import Path -from typing import Dict, List +from typing import Any, Dict, List import numpy as np import pytest @@ -12,13 +13,25 @@ from modalities.config.config import load_app_config_dict from modalities.config.pydanctic_if_types import PydanticLLMDataLoaderIFType from modalities.dataloader.dataloader import LLMDataLoader, RepeatingDataLoader -from modalities.dataloader.dataset import SequenceDataset +from modalities.dataloader.dataset import Dataset from modalities.dataloader.samplers import ResumableBatchSampler from modalities.models.gpt2.collator import CollateFnIF from modalities.registry.components import COMPONENTS from modalities.registry.registry import Registry +class SequenceDataset(Dataset): + def __init__(self, sequence: Sequence): + super().__init__(raw_data_path=None, sample_key=None) + self.sequence = sequence + + def __len__(self) -> int: + return len(self.sequence) + + def __getitem__(self, idx: int) -> Any: + return self.sequence[idx] + + def test_resumable_dataloader(): batch_size = 3 start_index = 2 From 78f4d0360afa8923fc01c98b41d549cd52a74083 Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Fri, 19 Jul 2024 12:58:59 +0200 Subject: [PATCH 35/70] refactor: added another check that fixed_num_batches > skip_num_batches --- src/modalities/dataloader/dataloader_factory.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/modalities/dataloader/dataloader_factory.py b/src/modalities/dataloader/dataloader_factory.py index 01261aa6..e7e06940 100644 --- a/src/modalities/dataloader/dataloader_factory.py +++ b/src/modalities/dataloader/dataloader_factory.py @@ -49,6 +49,9 @@ def get_dataloader( start_index=skip_num_batches, underlying_batch_sampler=batch_sampler, max_num_elements=fixed_num_batches ) + if fixed_num_batches <= skip_num_batches: + raise ConfigError("fixed_num_batches must be larger than skip_num_batches") + # make sure that the batch sampler has enough elements such that we can fix the number of batches to num_batches if fixed_num_batches is not None and len(batch_sampler) < fixed_num_batches - skip_num_batches: raise ConfigError( From 8372b21cf1686af07640f3adbf85d04d4045ae0a Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 29 Jul 2024 15:16:19 +0200 Subject: [PATCH 36/70] fix: check for fixed_num_batches is not None before comparison --- src/modalities/dataloader/dataloader_factory.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/modalities/dataloader/dataloader_factory.py b/src/modalities/dataloader/dataloader_factory.py index e7e06940..413f5d93 100644 --- a/src/modalities/dataloader/dataloader_factory.py +++ b/src/modalities/dataloader/dataloader_factory.py @@ -49,7 +49,7 @@ def get_dataloader( start_index=skip_num_batches, underlying_batch_sampler=batch_sampler, max_num_elements=fixed_num_batches ) - if fixed_num_batches <= skip_num_batches: + if fixed_num_batches is not None and fixed_num_batches <= skip_num_batches: raise ConfigError("fixed_num_batches must be larger than skip_num_batches") # make sure that the batch sampler has enough elements such that we can fix the number of batches to num_batches From c8ba69c2c84cc0216ef8bc20db4234b3c5a61eac Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 29 Jul 2024 15:40:18 +0200 Subject: [PATCH 37/70] chore: add missing reuse_last_target: False in example SFT config --- config_files/training/config_lorem_ipsum_sft.yaml | 1 + 1 file changed, 1 insertion(+) diff --git a/config_files/training/config_lorem_ipsum_sft.yaml b/config_files/training/config_lorem_ipsum_sft.yaml index 1dd591d2..6928733d 100644 --- a/config_files/training/config_lorem_ipsum_sft.yaml +++ b/config_files/training/config_lorem_ipsum_sft.yaml @@ -47,6 +47,7 @@ train_dataset: raw_data_path: ./data/lorem_ipsum_sft_converted.aadd295.pbin sequence_length: ${settings.training.sequence_length} sample_key: ${settings.referencing_keys.sample_key} + reuse_last_target: False train_dataloader: component_key: data_loader From b0c69a9401b817c606cf5c0f2bd6e3acd767d928 Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Wed, 31 Jul 2024 14:09:11 +0200 Subject: [PATCH 38/70] fix: removed sequence_length from MemMapDataset --- src/modalities/config/config.py | 1 - src/modalities/dataloader/dataset_factory.py | 7 ++++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/modalities/config/config.py b/src/modalities/config/config.py index 4186f88a..6566592b 100644 --- a/src/modalities/config/config.py +++ b/src/modalities/config/config.py @@ -259,7 +259,6 @@ class DistributedSamplerConfig(BaseModel): class MemMapDatasetConfig(BaseModel): raw_data_path: FilePath index_path: Optional[FilePath] = None - sequence_length: Annotated[int, Field(strict=True, gt=1)] tokenizer: PydanticTokenizerIFType jq_pattern: str sample_key: str diff --git a/src/modalities/dataloader/dataset_factory.py b/src/modalities/dataloader/dataset_factory.py index c73002b8..cad9284f 100644 --- a/src/modalities/dataloader/dataset_factory.py +++ b/src/modalities/dataloader/dataset_factory.py @@ -40,7 +40,6 @@ def get_dummy_dataset(num_samples: int, sample_definition: Tuple[DummySampleConf @staticmethod def get_mem_map_dataset( raw_data_path: Path, - sequence_length: int, tokenizer: PreTrainedTokenizer, sample_key: str, index_path: Optional[Path] = None, @@ -48,7 +47,6 @@ def get_mem_map_dataset( ) -> MemMapDataset: dataset = MemMapDataset( raw_data_path=raw_data_path, - block_size=sequence_length + 1, tokenizer=tokenizer, sample_key=sample_key, index_path=index_path, @@ -61,7 +59,10 @@ def get_packed_mem_map_dataset_continuous( raw_data_path: Path, sequence_length: int, sample_key: str, reuse_last_target: Optional[bool] = True ) -> PackedMemMapDatasetContinuous: dataset = PackedMemMapDatasetContinuous( - raw_data_path=raw_data_path, block_size=sequence_length + 1, sample_key=sample_key, reuse_last_target=reuse_last_target + raw_data_path=raw_data_path, + block_size=sequence_length + 1, + sample_key=sample_key, + reuse_last_target=reuse_last_target, ) return dataset From d0419002c4e328574bd4eca25c3dbf44cd33fd65 Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Wed, 31 Jul 2024 14:14:37 +0200 Subject: [PATCH 39/70] chore: added reraise of exception in PackedMemMapDatasetBase --- src/modalities/dataloader/dataset.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index c4dcf2fd..2688e949 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -141,11 +141,11 @@ def __init__(self, raw_data_path: Path, sample_key: str): try: self._token_dtype_on_disk = self.np_dtype_of_tokens_on_disk_from_bytes[self._token_size_in_bytes] self._token_dtype_in_ram = self.type_converter_for_torch[self._token_size_in_bytes] - except KeyError: + except KeyError as e: raise RuntimeError( f"Encountered a required token representation with {self._token_size_in_bytes}," " which is not supported. Consider using a smaller vocabulary." - ) + ) from e self._index = self._generate_packing_index() def _generate_packing_index(self) -> List[Tuple[int, int]]: @@ -198,7 +198,8 @@ def _generate_packing_index(self) -> List[Tuple[int, int]]: if self.reuse_last_target: # In this case we reuse the last target token as the first input token - # of the subsequent sample. Therfore, given a fixed number of samples we can compute the total number of tokens as + # of the subsequent sample. Therfore, given a fixed number of samples we can + # compute the total number of tokens as # num_tokens = block_size + (block_size-1) * (num_samples-1) # as the first sample always needs block_size many tokens and the following samples # each need block_size-1 many tokens (since we can reuse the last target token as the first input token @@ -216,7 +217,7 @@ def _generate_packing_index(self) -> List[Tuple[int, int]]: ((i * self.block_size) * self._token_size_in_bytes, self.block_size * self._token_size_in_bytes) for i in range(num_samples) ] - + return packing_index From 3912e368f1cf0b51aa25f22a0b274728d4ebb18a Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Wed, 31 Jul 2024 14:36:24 +0200 Subject: [PATCH 40/70] chore: fixed typo --- src/modalities/dataloader/dataset.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index 2688e949..96930d6a 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -198,7 +198,7 @@ def _generate_packing_index(self) -> List[Tuple[int, int]]: if self.reuse_last_target: # In this case we reuse the last target token as the first input token - # of the subsequent sample. Therfore, given a fixed number of samples we can + # of the subsequent sample. Therefore, given a fixed number of samples we can # compute the total number of tokens as # num_tokens = block_size + (block_size-1) * (num_samples-1) # as the first sample always needs block_size many tokens and the following samples From cc4eef78c00d44b64a29df372771af4b5904ca55 Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Wed, 31 Jul 2024 14:37:04 +0200 Subject: [PATCH 41/70] refactor: made non-public methods related to apply_chat_template private --- src/modalities/dataloader/apply_chat_template.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index 1ba858be..b80aa889 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -16,24 +16,24 @@ def apply_chat_template(config_file_path: Path): config_dict = load_app_config_dict(config_file_path=config_file_path) config = SFTConfig(**config_dict) instruction_data = _stream_jsonl(config.settings.src_path) - chat_template = get_chat_template(config.jinja2_chat_template) + chat_template = _get_chat_template(config.jinja2_chat_template) dst_path = Path(config.settings.dst_path) # similar to github only use the first 7 characters of the hash for readability - hash_str = hash_sum_file_sha256(config_file_path)[:7] - store_config_file_with_hash(config_file_path, dst_path, hash_str) + hash_str = _hash_sum_file_sha256(config_file_path)[:7] + _store_config_file_with_hash(config_file_path, dst_path, hash_str) dst_path_with_uuid = dst_path.with_suffix(f".{hash_str}" + "".join(dst_path.suffixes)) with dst_path_with_uuid.open("w") as output_file: for entry in instruction_data: conversation = entry[config.settings.conversations_key] - conversation = map_roles(conversation, config.instruction_data_transformation.role_mapping) + conversation = _map_roles(conversation, config.instruction_data_transformation.role_mapping) chat = chat_template.render(conversation=conversation, chat_template_data=config.chat_template_data) entry["chat"] = chat json.dump(entry, output_file) output_file.write("\n") -def hash_sum_file_sha256(file_path: Path) -> str: +def _hash_sum_file_sha256(file_path: Path) -> str: hash = hashlib.sha256() bytes = bytearray(128 * 1024) mem_view = memoryview(bytes) @@ -43,12 +43,12 @@ def hash_sum_file_sha256(file_path: Path) -> str: return hash.hexdigest() -def store_config_file_with_hash(config_file_path: Path, dst_path: Path, uuid_str: str) -> None: +def _store_config_file_with_hash(config_file_path: Path, dst_path: Path, uuid_str: str) -> None: out_config_file_path = dst_path.parent / f"sft_chat_template_config.{uuid_str}.yaml" shutil.copyfile(config_file_path, out_config_file_path) -def get_chat_template(jinja2_chat_template: str) -> Template: +def _get_chat_template(jinja2_chat_template: str) -> Template: # yaml adds a newline character when using the multiline "|" indicator. (with ">" it would add spaces instead) # we need to remove those chat_template = jinja2_chat_template.replace("}\n{", "}{") @@ -56,7 +56,7 @@ def get_chat_template(jinja2_chat_template: str) -> Template: return compiled_chat_template -def map_roles(conversation: List[Dict[str, Any]], role_mapping: Dict[str, str]) -> List[Dict[str, Any]]: +def _map_roles(conversation: List[Dict[str, Any]], role_mapping: Dict[str, str]) -> List[Dict[str, Any]]: return [{key: role_mapping.get(value, value) for key, value in turn.items()} for turn in conversation] From 00a35ee2b1f1dd49ed55a66aa621eecc7f54507e Mon Sep 17 00:00:00 2001 From: Max Luebbering Date: Wed, 31 Jul 2024 16:01:46 +0200 Subject: [PATCH 42/70] chore: minor style improvement --- src/modalities/dataloader/apply_chat_template.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index b80aa889..d19a780f 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -57,7 +57,7 @@ def _get_chat_template(jinja2_chat_template: str) -> Template: def _map_roles(conversation: List[Dict[str, Any]], role_mapping: Dict[str, str]) -> List[Dict[str, Any]]: - return [{key: role_mapping.get(value, value) for key, value in turn.items()} for turn in conversation] + return [{key: role_mapping.get(key=value, default=value) for key, value in turn.items()} for turn in conversation] def _stream_jsonl(src_file_path: str) -> Generator[Dict[str, Any], None, None]: From 009bb8a7da992f6656539c476b5056fc70907798 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 5 Aug 2024 13:31:49 +0200 Subject: [PATCH 43/70] chore: fix suggestions of PR first round --- SFT_README.md | 99 ++++++ .../apply_chat_template_config.yaml | 2 +- .../packed_chat_dataset_config.yaml | 2 +- config_files/training/config_lorem_ipsum.yaml | 3 +- .../training/config_lorem_ipsum_instruct.yaml | 313 ------------------ .../training/config_lorem_ipsum_sft.yaml | 4 +- pyproject.toml | 3 +- .../dataloader/apply_chat_template.py | 28 +- src/modalities/dataloader/dataset.py | 6 +- .../models/components/collator_wrapper.py | 23 +- tests/test_loss_masking.py | 12 +- 11 files changed, 147 insertions(+), 348 deletions(-) create mode 100644 SFT_README.md delete mode 100644 config_files/training/config_lorem_ipsum_instruct.yaml diff --git a/SFT_README.md b/SFT_README.md new file mode 100644 index 00000000..0e4a75d2 --- /dev/null +++ b/SFT_README.md @@ -0,0 +1,99 @@ +# Supervised Fine-tuning with Modalities + +Currently supported are Instruction-tuning and Low-rank Adaption (LorA), as explained in more detail next. + +## Instruction-tuning +* entry point to prepare data +* jinja2 templates +* The b_include_to_loss_token, e_include_to_loss_token are required to be part of each chat template for proper loss masking! +* hash to connect files + +* truncation, padding +* re-use last target + +### Create Prompts from Conversations +To prepare the instruction-tuning data we created a new entry point `apply_chat_template`, which requires a [configuration file](./config_files/data_preparation/apply_chat_template_config.yaml). Wihtin it we define: +* the path to instruction-tuning dataset as a JSONL file wereas each line contains a structured conversation as an array of dictionaries. +* A [jinja2](https://jinja.palletsprojects.com/en/3.1.x/) chat template which defines the rules how to glue `chat_template_data` and the data within the JSONL together to one `chat` string. + +As part of the `chat_template_data`, we require the special tokens `b_include_to_loss_token` and `e_include_to_loss_token`. +> ❗ You should choose sequences which are tokenized into a single token and will not appear in the assistant utterances of the instruction-tuning data! + +They are used to mark the begin and end of the assistant turns, as we need to include only tokens between those into the loss computation during instruction-tuning with modalities. + +```yaml +chat_template_data: + ... + special_tokens: + b_include_to_loss_token: ^ + e_include_to_loss_token: $ +``` + +Run the `apply_chat_template` entry point with: +```bash +modalities data apply_chat_template --config_file_path config_files/data_preparation/apply_chat_template_config.yaml +``` + +This will create two files +1. The new JSONL file with a new attribute `chat` containing the conversations e.g. `lorem_ipsum_sft_converted.aadd295.jsonl` +2. The config used to generate the `chat` e.g. `sft_chat_template_config.aadd295.yaml` + +> Both files names contain the first 7 symbols of the hash of the config file, to group files which belong together! + +### Create idx and pbin files +Before continuing with the instruction-tuning you need to index the created JSONL and convert it to a packed data file. + +> Make sure to use the same hash for correct grouping when defining the output file names! + +For example: +```bash +# create idx file +modalities data create_raw_index --index_path data/lorem_ipsum_sft_converted.aadd295.idx data/lorem_ipsum_sft_converted.aadd295.jsonl + +# create pbin file +modalities data pack_encoded_data --config_file_path config_files/data_preparation/packed_chat_dataset_config.yaml +``` + +> The [packed_chat_dataset_config.yaml](config_files/data_preparation/packed_chat_dataset_config.yaml) must use truncation and padding! + +### Instruction-Tuning + +With your prepared instruction-tuning data as pbin file, you can now instruction-tune. + +Make sure to use the wrapped collate function. + +* You need to look up the `b_include_to_loss_token` and `e_include_to_loss_token` as defined within your `sft_chat_template_config.aadd295.yaml`. If configured the pbin creation correctly, you only need to check for matching hash suffixes. +* Set the `loss_ignore_index` which gets ignored by your loss function. In torch this is usually -100. +* We need a tokenizer to tokenize the `b_include_to_loss_token` and `e_include_to_loss_token` + +For example (Copied from [config_files/training/config_lorem_ipsum_sft.yaml](config_files/training/config_lorem_ipsum_sft.yaml)): +```yaml +collate_fn: + component_key: collate_fn + variant_key: mask_loss_collator_wrapper + config: + wrapped_collate_fn: + component_key: collate_fn + variant_key: gpt_2_llm_collator + config: + sample_key: ${settings.referencing_keys.sample_key} + target_key: ${settings.referencing_keys.target_key} + target_keys_to_mask: + - ${settings.referencing_keys.target_key} + loss_ignore_index: -100 + mask_tokens: + b_include_to_loss_token: ^ + e_include_to_loss_token: $ + tokenizer: + instance_key: tokenizer + pass_type: BY_REFERENCE +``` + +Finally, run the instruction-tuning with the `run` entry point: +```bash +torch.distributed.run --nnodes 1 --nproc_per_node 2 --rdzv-endpoint=0.0.0.0:29555 src/modalities/__main__.py run --config_file_path config_files/training/config_lorem_ipsum_sft.yaml +``` + +## Low-rank Adaption (LorA) + +TBD diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 7b1b4960..8ea32cfc 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -1,7 +1,7 @@ settings: src_path: data/lorem_ipsum_sft.jsonl dst_path: data/lorem_ipsum_sft_converted.jsonl - conversations_key: 'conversations' + conversations_key: conversations instruction_data_transformation: role_mapping: diff --git a/config_files/data_preparation/packed_chat_dataset_config.yaml b/config_files/data_preparation/packed_chat_dataset_config.yaml index 79b2c78c..cd86fe88 100644 --- a/config_files/data_preparation/packed_chat_dataset_config.yaml +++ b/config_files/data_preparation/packed_chat_dataset_config.yaml @@ -19,4 +19,4 @@ tokenizer: truncation: true max_length: ${settings.sequence_length} special_tokens: - pad_token: <|endoftext|> # eos token + pad_token: ${settings.eod_token} diff --git a/config_files/training/config_lorem_ipsum.yaml b/config_files/training/config_lorem_ipsum.yaml index 545e6cc7..1bb151c6 100644 --- a/config_files/training/config_lorem_ipsum.yaml +++ b/config_files/training/config_lorem_ipsum.yaml @@ -42,8 +42,7 @@ train_dataloader: num_workers: 2 pin_memory: true shuffle: false - dataloader_tag: "train" - gradient_acc_steps: ${settings.training.gradient_acc_steps} + dataloader_tag: train dataset: instance_key: train_dataset pass_type: BY_REFERENCE diff --git a/config_files/training/config_lorem_ipsum_instruct.yaml b/config_files/training/config_lorem_ipsum_instruct.yaml deleted file mode 100644 index 7e92ab7b..00000000 --- a/config_files/training/config_lorem_ipsum_instruct.yaml +++ /dev/null @@ -1,313 +0,0 @@ -settings: - experiment_id: ${modalities_env:experiment_id} - config_file_path: ${modalities_env:config_file_path} - referencing_keys: - sample_key: input_ids - target_key: target_ids - training: - training_log_interval_in_steps: 2 - checkpointing_interval_in_steps: 4 - evaluation_interval_in_steps: 2 - global_num_seen_tokens: 0 - activation_checkpointing_modules: [GPT2Block] - gradient_acc_steps: 2 - local_train_micro_batch_size: 1 - sequence_length: 2048 - cuda_env: - local_rank: ${cuda_env:LOCAL_RANK} - global_rank: ${cuda_env:RANK} - world_size: ${cuda_env:WORLD_SIZE} - paths: - checkpointing_path: data/checkpoints - -collate_fn: - component_key: collate_fn - variant_key: gpt_2_llm_collator - config: - sample_key: ${settings.referencing_keys.sample_key} - target_key: ${settings.referencing_keys.target_key} - -train_dataset: - component_key: dataset - variant_key: packed_mem_map_dataset_continuous - config: - raw_data_path: ./data/lorem_ipsum_sft_converted.pbin - sequence_length: ${settings.training.sequence_length} - sample_key: ${settings.referencing_keys.sample_key} - reuse_last_target: false - -train_dataloader: - component_key: data_loader - variant_key: default - config: - num_workers: 2 - pin_memory: true - shuffle: false - dataloader_tag: train - dataset: - instance_key: train_dataset - pass_type: BY_REFERENCE - batch_sampler: - component_key: batch_sampler - variant_key: default - config: - batch_size: ${settings.training.local_train_micro_batch_size} - drop_last: true - sampler: - component_key: sampler - variant_key: distributed_sampler - config: - rank: ${settings.cuda_env.global_rank} - num_replicas: ${settings.cuda_env.world_size} - shuffle: true - dataset: - instance_key: train_dataset - pass_type: BY_REFERENCE - collate_fn: - instance_key: collate_fn - pass_type: BY_REFERENCE - -val_dataloader: - component_key: data_loader - variant_key: default - config: - num_workers: 2 - pin_memory: true - shuffle: false - dataloader_tag: "val" - dataset: - instance_key: train_dataset - pass_type: BY_REFERENCE - batch_sampler: - component_key: batch_sampler - variant_key: default - config: - batch_size: 4 - drop_last: true - sampler: - component_key: sampler - variant_key: distributed_sampler - config: - rank: ${settings.cuda_env.global_rank} - num_replicas: ${settings.cuda_env.world_size} - shuffle: false - dataset: - instance_key: train_dataset - pass_type: BY_REFERENCE - collate_fn: - instance_key: collate_fn - pass_type: BY_REFERENCE - -test_dataloader: - component_key: data_loader - variant_key: default - config: - num_workers: 2 - pin_memory: true - shuffle: false - dataloader_tag: "test" - dataset: - instance_key: train_dataset - pass_type: BY_REFERENCE - batch_sampler: - component_key: batch_sampler - variant_key: default - config: - batch_size: 2 - drop_last: true - sampler: - component_key: sampler - variant_key: distributed_sampler - config: - rank: ${settings.cuda_env.global_rank} - num_replicas: ${settings.cuda_env.world_size} - shuffle: false - dataset: - instance_key: train_dataset - pass_type: BY_REFERENCE - collate_fn: - instance_key: collate_fn - pass_type: BY_REFERENCE - -eval_dataloaders: - - instance_key: val_dataloader - pass_type: BY_REFERENCE - - instance_key: test_dataloader - pass_type: BY_REFERENCE - -checkpoint_saving: - component_key: checkpoint_saving - variant_key: default - config: - checkpoint_saving_strategy: - component_key: checkpoint_saving_strategy - variant_key: save_k_most_recent_checkpoints_strategy - config: - k: -1 # -1 to save all checkpoints - checkpoint_saving_execution: - component_key: checkpoint_saving_execution - variant_key: fsdp - config: - checkpoint_path: ${settings.paths.checkpointing_path} - global_rank: ${settings.cuda_env.global_rank} - experiment_id: ${settings.experiment_id} - get_num_tokens_from_num_steps_callable: - component_key: number_conversion - variant_key: num_tokens_from_num_steps_callable - config: - num_ranks: ${settings.cuda_env.world_size} - local_micro_batch_size: ${settings.training.local_train_micro_batch_size} - sequence_length: ${settings.training.sequence_length} - -# resolving class types via different enums sucks... -loss_fn: - component_key: loss - variant_key: clm_cross_entropy_loss - config: - target_key: target_ids - prediction_key: logits - -wrapped_model: - component_key: model - variant_key: fsdp_wrapped - config: - model: - instance_key: model - pass_type: BY_REFERENCE - sync_module_states: true - mixed_precision_settings: BF_16 - sharding_strategy: FULL_SHARD - block_names: [GPT2Block] - -model: - component_key: model - variant_key: model_initialized - config: - model: - instance_key: model_raw - pass_type: BY_REFERENCE - model_initializer: - component_key: model_initialization - variant_key: composed - config: - model_type: gpt2 - weight_init_type: scaled - mean: 0.0 - std: 0.02 - num_layers: ${model_raw.config.n_layer} - -model_raw: - component_key: model - variant_key: gpt2 - config: - sample_key: ${settings.referencing_keys.sample_key} - poe_type: NOPE - sequence_length: ${settings.training.sequence_length} - prediction_key: ${loss_fn.config.prediction_key} - vocab_size: 50304 # GPT-2 vocab_size of 50257, padded up to nearest multiple of 64 for efficiency - n_layer: 2 - n_head_q: 8 - n_head_kv: 4 - ffn_hidden: 128 - n_embd: 128 - dropout: 0.0 - bias: true # True: bias in Linears and LayerNorms, like GPT-2. False: a bit better and faster - attention_config: - qkv_transforms: - - type_hint: RotaryTransform - config: - n_embd: ${model_raw.config.n_embd} - n_head: ${model_raw.config.n_head_q} #it has to be head_q here - seq_length_dim: -2 - attention_implementation: manual - activation_type: swiglu - attention_norm: - component_key: layer_norm - variant_key: rms_norm - config: - ndim: ${model_raw.config.n_embd} - bias: true - epsilon: 1e-5 - ffn_norm: - component_key: layer_norm - variant_key: rms_norm - config: - ndim: ${model_raw.config.n_embd} - bias: true - epsilon: 1e-5 - lm_head_norm: - component_key: layer_norm - variant_key: rms_norm - config: - ndim: ${model_raw.config.n_embd} - bias: true - epsilon: 1e-5 - -scheduler: - component_key: scheduler - variant_key: onecycle_lr - config: - optimizer: - instance_key: optimizer - pass_type: BY_REFERENCE - max_lr: 6e-4 - div_factor: 10 - final_div_factor: 1 - total_steps: 16 - pct_start: 0.01 - anneal_strategy: cos - -optimizer: - component_key: optimizer - variant_key: adam_w - config: - lr: 0.0001 - betas: [0.9, 0.95] - eps: 1e-8 - weight_decay: 1e-1 - weight_decay_groups_excluded: [embedding, layernorm] - wrapped_model: - instance_key: wrapped_model - pass_type: BY_REFERENCE - -gradient_clipper: - component_key: gradient_clipper - variant_key: fsdp - config: - wrapped_model: - instance_key: wrapped_model - pass_type: BY_REFERENCE - norm_type: P2_NORM - max_norm: 1.0 - -batch_progress_subscriber: - component_key: progress_subscriber - variant_key: rich - config: - local_rank: ${settings.cuda_env.local_rank} - global_num_seen_steps: - component_key: number_conversion - variant_key: num_steps_from_num_tokens - config: - num_ranks: ${settings.cuda_env.world_size} - local_micro_batch_size: ${settings.training.local_train_micro_batch_size} - global_num_tokens: ${settings.training.global_num_seen_tokens} - sequence_length: ${settings.training.sequence_length} - gradient_acc_steps: ${settings.training.gradient_acc_steps} - train_dataloader: - instance_key: train_dataloader - pass_type: BY_REFERENCE - eval_dataloaders: - instance_key: eval_dataloaders - pass_type: BY_REFERENCE - -evaluation_subscriber: - component_key: results_subscriber - variant_key: wandb - config: - local_rank: ${settings.cuda_env.local_rank} - project: modalities_lorem_ipsum - mode: ONLINE - experiment_id: ${settings.experiment_id} - directory: "." - config_file_path: ${settings.config_file_path} diff --git a/config_files/training/config_lorem_ipsum_sft.yaml b/config_files/training/config_lorem_ipsum_sft.yaml index 6928733d..5d6fbee3 100644 --- a/config_files/training/config_lorem_ipsum_sft.yaml +++ b/config_files/training/config_lorem_ipsum_sft.yaml @@ -24,7 +24,7 @@ collate_fn: component_key: collate_fn variant_key: mask_loss_collator_wrapper config: - collate_fn: + wrapped_collate_fn: component_key: collate_fn variant_key: gpt_2_llm_collator config: @@ -47,7 +47,7 @@ train_dataset: raw_data_path: ./data/lorem_ipsum_sft_converted.aadd295.pbin sequence_length: ${settings.training.sequence_length} sample_key: ${settings.referencing_keys.sample_key} - reuse_last_target: False + reuse_last_target: false train_dataloader: component_key: data_loader diff --git a/pyproject.toml b/pyproject.toml index 3017fc92..425a7466 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,6 +24,7 @@ dependencies = [ "einops>=0.7.0", "flash-attn", # install this directly via `pip install flash-attn --no-build-isolation` "jsonlines", + "Jinja2>=3.1.0", ] [project.optional-dependencies] @@ -80,4 +81,4 @@ exclude_also = [ ignore_errors = true [tool.coverage.html] -directory = "coverage_html_report" \ No newline at end of file +directory = "coverage_html_report" diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index d19a780f..c85580a8 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -2,11 +2,12 @@ import json import shutil from pathlib import Path -from typing import Any, Dict, Generator, List +from typing import Any, Dict, Generator, List, Tuple import jsonlines from jinja2 import Template -from packaging import version +from jinja2.exceptions import TemplateError +from jinja2.sandbox import ImmutableSandboxedEnvironment from modalities.config.config import load_app_config_dict from modalities.config.sft_config import SFTConfig @@ -70,22 +71,17 @@ def _compile_jinja_template(chat_template: str) -> Template: """Code taken from https://github.com/huggingface/transformers/blob/v4.42.0/src/transformers/tokenization_utils_base.py#L1906 """ - try: - import jinja2 - from jinja2.exceptions import TemplateError - from jinja2.sandbox import ImmutableSandboxedEnvironment - except ImportError: - raise ImportError("apply_chat_template requires jinja2 to be installed.") - - if version.parse(jinja2.__version__) < version.parse("3.1.0"): - raise ImportError( - "apply_chat_template requires jinja2>=3.1.0 to be installed. Your version is " f"{jinja2.__version__}." - ) - - def raise_exception(message): + + def raise_exception(message: str): raise TemplateError(message) - def tojson(x, ensure_ascii=False, indent=None, separators=None, sort_keys=False): + def tojson( + x: Any, + ensure_ascii: bool = False, + indent: int | str | None = None, + separators: Tuple[str, str] | None = None, + sort_keys: bool = False, + ): # We override the built-in tojson filter because Jinja's default filter escapes HTML characters # We also expose some options like custom indents and separators return json.dumps(x, ensure_ascii=ensure_ascii, indent=indent, separators=separators, sort_keys=sort_keys) diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index 96930d6a..7ba2d021 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -196,10 +196,12 @@ def _generate_packing_index(self) -> List[Tuple[int, int]]: if self.block_size < 2: raise ValueError("Block size must be at least 2.") + # TODO ask Richard if this is actually needed. + # The collator discards the first target token and the last sample token if self.reuse_last_target: # In this case we reuse the last target token as the first input token - # of the subsequent sample. Therefore, given a fixed number of samples we can - # compute the total number of tokens as + # of the subsequent sample. + # Therfore, given a fixed number of samples we can compute the total number of tokens as # num_tokens = block_size + (block_size-1) * (num_samples-1) # as the first sample always needs block_size many tokens and the following samples # each need block_size-1 many tokens (since we can reuse the last target token as the first input token diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/models/components/collator_wrapper.py index 07727712..716e218b 100644 --- a/src/modalities/models/components/collator_wrapper.py +++ b/src/modalities/models/components/collator_wrapper.py @@ -15,7 +15,7 @@ class MaskingTokenConfig(BaseModel): class LossMaskingCollateFnWrapperConfig(BaseModel): - collate_fn: PydanticCollateFnIFType + wrapped_collate_fn: PydanticCollateFnIFType target_keys_to_mask: List[str] loss_ignore_index: int mask_tokens: MaskingTokenConfig @@ -25,21 +25,34 @@ class LossMaskingCollateFnWrapperConfig(BaseModel): class LossMaskingCollateFnWrapper(CollateFnIF): def __init__( self, - collate_fn: CollateFnIF, + wrapped_collate_fn: CollateFnIF, target_keys_to_mask: List[str], loss_ignore_index: int, mask_tokens: MaskingTokenConfig, tokenizer: TokenizerWrapper, ): - """Wraps the given collate_fn and masks the target keys if not within the given special mask tokens. + """ + Initializes the LossMaskingCollateFnWrapper. + Wraps the given wrapped_collate_fn and masks the target keys if not within the given special mask tokens. Does not include both mask tokens into the loss. If you need a token to indicate the end of the assistant, use another special token for this! Works also for the continuous dataset reading, as if the "end-include-to-loss" token is detected in the front, all tokens before are included to the loss. Throws a ValueError if the mask tokens are not found in the target or if the mask tokens are the same. + + + Args: + wrapped_collate_fn (CollateFnIF): The wrapped collate function. + target_keys_to_mask (List[str]): The list of target keys to mask. + loss_ignore_index (int): The index to ignore in the loss calculation. + mask_tokens (MaskingTokenConfig): The configuration for masking tokens. + tokenizer (TokenizerWrapper): The tokenizer wrapper. + + Raises: + ValueError: If b_mask_token_id and e_mask_token_id are the same. """ - self.collate_fn = collate_fn + self.wrapped_collate_fn = wrapped_collate_fn self.target_keys_to_mask = target_keys_to_mask self.loss_ignore_index = loss_ignore_index self.tokenizer = tokenizer @@ -51,7 +64,7 @@ def __init__( ) def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: - dataset_batch = self.collate_fn(batch) + dataset_batch = self.wrapped_collate_fn(batch) for target_key_to_mask in self.target_keys_to_mask: target = dataset_batch.targets[target_key_to_mask] masked_target = self._mask_target( diff --git a/tests/test_loss_masking.py b/tests/test_loss_masking.py index e4f60e79..ea22ab54 100644 --- a/tests/test_loss_masking.py +++ b/tests/test_loss_masking.py @@ -42,13 +42,15 @@ def loss_masking_config(dummy_tokenizer) -> LossMaskingCollateFnWrapperConfig: [ ( [ - # the collate_fn will shift the sample and target: - # shifted sample: [5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0] - # shifted target: [5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1] - # masked shifted target: [-100, -100, 5, 5, -100, -100, -100, 5, -100, -100, -100, -100, -100, -100] + # the collate_fn will cut off the sample and target: + # sample no last token: [5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0] + # target no first token: [5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1] + # masked target: [-100, -100, 5, 5, -100, -100, -100, 5, -100, -100, -100, -100, -100, -100] {"sample": torch.Tensor([5, 5, 0, 5, 5, 1, 5, 0, 5, 1, 0, 1, 5, 0, 1])}, ], - # the expected batch is shifted and masked for loss computation! + # the expected target is masked for loss computation! + # There expected target starts not with three -100, + # as the original skipped the frist token: [5, 0, 5, 5, ...] DatasetBatch( targets={ "target": torch.Tensor( From a47dc8cf7fd7e7d9648b114d805532358ff9c881 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 5 Aug 2024 13:44:08 +0200 Subject: [PATCH 44/70] chore: Move collate functions to dataloader package --- examples/library_usage/main.py | 2 +- src/modalities/config/pydanctic_if_types.py | 2 +- src/modalities/dataloader/collate_fns/collate_if.py | 12 ++++++++++++ .../collate_fns}/collator_wrapper.py | 2 +- src/modalities/models/coca/collator.py | 2 +- src/modalities/models/gpt2/collator.py | 8 +------- src/modalities/registry/components.py | 5 ++++- tests/dataloader/test_dataloader.py | 2 +- tests/test_loss_masking.py | 2 +- 9 files changed, 23 insertions(+), 14 deletions(-) create mode 100644 src/modalities/dataloader/collate_fns/collate_if.py rename src/modalities/{models/components => dataloader/collate_fns}/collator_wrapper.py (98%) diff --git a/examples/library_usage/main.py b/examples/library_usage/main.py index cb03eb63..4c463526 100644 --- a/examples/library_usage/main.py +++ b/examples/library_usage/main.py @@ -7,7 +7,7 @@ from modalities.__main__ import Main from modalities.batch import DatasetBatch from modalities.config.config import load_app_config_dict -from modalities.models.gpt2.collator import CollateFnIF +from modalities.dataloader.collate_fns.collate_if import CollateFnIF class CustomGPT2LLMCollateFnConfig(BaseModel): diff --git a/src/modalities/config/pydanctic_if_types.py b/src/modalities/config/pydanctic_if_types.py index a141e065..cd43b3f2 100644 --- a/src/modalities/config/pydanctic_if_types.py +++ b/src/modalities/config/pydanctic_if_types.py @@ -12,11 +12,11 @@ from modalities.checkpointing.checkpoint_loading import CheckpointLoadingIF from modalities.checkpointing.checkpoint_saving import CheckpointSaving, CheckpointSavingExecutionABC from modalities.checkpointing.checkpoint_saving_strategies import CheckpointSavingStrategyIF +from modalities.dataloader.collate_fns.collate_if import CollateFnIF from modalities.dataloader.dataloader import LLMDataLoader from modalities.inference.text.inference_component import TextInferenceComponent from modalities.logging_broker.subscriber import MessageSubscriberIF from modalities.loss_functions import Loss -from modalities.models.gpt2.collator import CollateFnIF from modalities.nn.model_initialization.initialization_if import ModelInitializationIF from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper from modalities.training.gradient_clipping.gradient_clipper import GradientClipperIF diff --git a/src/modalities/dataloader/collate_fns/collate_if.py b/src/modalities/dataloader/collate_fns/collate_if.py new file mode 100644 index 00000000..da89a0ce --- /dev/null +++ b/src/modalities/dataloader/collate_fns/collate_if.py @@ -0,0 +1,12 @@ +from abc import ABC, abstractmethod +from typing import Dict, List + +import torch + +from modalities.batch import DatasetBatch + + +class CollateFnIF(ABC): + @abstractmethod + def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: + raise NotImplementedError diff --git a/src/modalities/models/components/collator_wrapper.py b/src/modalities/dataloader/collate_fns/collator_wrapper.py similarity index 98% rename from src/modalities/models/components/collator_wrapper.py rename to src/modalities/dataloader/collate_fns/collator_wrapper.py index 716e218b..94fb9bd3 100644 --- a/src/modalities/models/components/collator_wrapper.py +++ b/src/modalities/dataloader/collate_fns/collator_wrapper.py @@ -5,7 +5,7 @@ from modalities.batch import DatasetBatch from modalities.config.pydanctic_if_types import PydanticCollateFnIFType, PydanticTokenizerIFType -from modalities.models.gpt2.collator import CollateFnIF +from modalities.dataloader.collate_fns.collate_if import CollateFnIF from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper diff --git a/src/modalities/models/coca/collator.py b/src/modalities/models/coca/collator.py index 0c9584ca..ce833a69 100644 --- a/src/modalities/models/coca/collator.py +++ b/src/modalities/models/coca/collator.py @@ -5,7 +5,7 @@ from pydantic import BaseModel from modalities.batch import DatasetBatch -from modalities.models.gpt2.collator import CollateFnIF +from modalities.dataloader.collate_fns.collate_if import CollateFnIF class CoCaCollateFnConfig(BaseModel): diff --git a/src/modalities/models/gpt2/collator.py b/src/modalities/models/gpt2/collator.py index 2074a13c..9255885e 100644 --- a/src/modalities/models/gpt2/collator.py +++ b/src/modalities/models/gpt2/collator.py @@ -1,15 +1,9 @@ -from abc import ABC, abstractmethod from typing import Dict, List import torch from modalities.batch import DatasetBatch - - -class CollateFnIF(ABC): - @abstractmethod - def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: - raise NotImplementedError +from modalities.dataloader.collate_fns.collate_if import CollateFnIF class GPT2LLMCollateFn(CollateFnIF): diff --git a/src/modalities/registry/components.py b/src/modalities/registry/components.py index 86620b14..34b087b5 100644 --- a/src/modalities/registry/components.py +++ b/src/modalities/registry/components.py @@ -50,6 +50,10 @@ WandBEvaluationResultSubscriberConfig, WeightInitializedModelConfig, ) +from modalities.dataloader.collate_fns.collator_wrapper import ( + LossMaskingCollateFnWrapper, + LossMaskingCollateFnWrapperConfig, +) from modalities.dataloader.dataloader_factory import DataloaderFactory from modalities.dataloader.dataset import DummyDatasetConfig from modalities.dataloader.dataset_factory import DatasetFactory @@ -60,7 +64,6 @@ from modalities.loss_functions import CLMCrossEntropyLoss from modalities.models.coca.coca_model import CoCa, CoCaConfig from modalities.models.coca.collator import CoCaCollateFnConfig, CoCaCollatorFn -from modalities.models.components.collator_wrapper import LossMaskingCollateFnWrapper, LossMaskingCollateFnWrapperConfig from modalities.models.components.layer_norms import LayerNormConfig, RMSLayerNorm, RMSLayerNormConfig from modalities.models.gpt2.collator import GPT2LLMCollateFn from modalities.models.gpt2.gpt2_model import GPT2LLM, GPT2LLMConfig diff --git a/tests/dataloader/test_dataloader.py b/tests/dataloader/test_dataloader.py index 44cb55e6..4a6a3b59 100644 --- a/tests/dataloader/test_dataloader.py +++ b/tests/dataloader/test_dataloader.py @@ -12,10 +12,10 @@ from modalities.config.component_factory import ComponentFactory from modalities.config.config import load_app_config_dict from modalities.config.pydanctic_if_types import PydanticLLMDataLoaderIFType +from modalities.dataloader.collate_fns.collate_if import CollateFnIF from modalities.dataloader.dataloader import LLMDataLoader, RepeatingDataLoader from modalities.dataloader.dataset import Dataset from modalities.dataloader.samplers import ResumableBatchSampler -from modalities.models.gpt2.collator import CollateFnIF from modalities.registry.components import COMPONENTS from modalities.registry.registry import Registry diff --git a/tests/test_loss_masking.py b/tests/test_loss_masking.py index ea22ab54..b10e28ab 100644 --- a/tests/test_loss_masking.py +++ b/tests/test_loss_masking.py @@ -4,7 +4,7 @@ import torch from modalities.batch import DatasetBatch -from modalities.models.components.collator_wrapper import ( +from modalities.dataloader.collate_fns.collator_wrapper import ( LossMaskingCollateFnWrapper, LossMaskingCollateFnWrapperConfig, MaskingTokenConfig, From 705101cffa1800cab744eff7782cfaa7c370e845 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 5 Aug 2024 13:46:12 +0200 Subject: [PATCH 45/70] chore: renamed MaskingTokenConfig to LossMaskingTokenConfig --- src/modalities/dataloader/collate_fns/collator_wrapper.py | 6 +++--- tests/test_loss_masking.py | 4 ++-- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/src/modalities/dataloader/collate_fns/collator_wrapper.py b/src/modalities/dataloader/collate_fns/collator_wrapper.py index 94fb9bd3..f1cb6757 100644 --- a/src/modalities/dataloader/collate_fns/collator_wrapper.py +++ b/src/modalities/dataloader/collate_fns/collator_wrapper.py @@ -9,7 +9,7 @@ from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper -class MaskingTokenConfig(BaseModel): +class LossMaskingTokenConfig(BaseModel): b_include_to_loss_token: str e_include_to_loss_token: str @@ -18,7 +18,7 @@ class LossMaskingCollateFnWrapperConfig(BaseModel): wrapped_collate_fn: PydanticCollateFnIFType target_keys_to_mask: List[str] loss_ignore_index: int - mask_tokens: MaskingTokenConfig + mask_tokens: LossMaskingTokenConfig tokenizer: PydanticTokenizerIFType @@ -28,7 +28,7 @@ def __init__( wrapped_collate_fn: CollateFnIF, target_keys_to_mask: List[str], loss_ignore_index: int, - mask_tokens: MaskingTokenConfig, + mask_tokens: LossMaskingTokenConfig, tokenizer: TokenizerWrapper, ): """ diff --git a/tests/test_loss_masking.py b/tests/test_loss_masking.py index b10e28ab..ff482ecb 100644 --- a/tests/test_loss_masking.py +++ b/tests/test_loss_masking.py @@ -7,7 +7,7 @@ from modalities.dataloader.collate_fns.collator_wrapper import ( LossMaskingCollateFnWrapper, LossMaskingCollateFnWrapperConfig, - MaskingTokenConfig, + LossMaskingTokenConfig, ) from modalities.models.gpt2.collator import GPT2LLMCollateFn from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper @@ -31,7 +31,7 @@ def loss_masking_config(dummy_tokenizer) -> LossMaskingCollateFnWrapperConfig: collate_fn=GPT2LLMCollateFn(sample_key="sample", target_key="target"), target_keys_to_mask=["target"], loss_ignore_index=-100, - mask_tokens=MaskingTokenConfig(b_include_to_loss_token="begin", e_include_to_loss_token="end"), + mask_tokens=LossMaskingTokenConfig(b_include_to_loss_token="begin", e_include_to_loss_token="end"), tokenizer=dummy_tokenizer, ) From c399b949ed3514801a618e9054d3257d683db6fc Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 5 Aug 2024 14:21:38 +0200 Subject: [PATCH 46/70] chore: Add explaination to vectorized loss masking --- .../collate_fns/collator_wrapper.py | 23 +++++++++++++++---- 1 file changed, 19 insertions(+), 4 deletions(-) diff --git a/src/modalities/dataloader/collate_fns/collator_wrapper.py b/src/modalities/dataloader/collate_fns/collator_wrapper.py index f1cb6757..496d24ff 100644 --- a/src/modalities/dataloader/collate_fns/collator_wrapper.py +++ b/src/modalities/dataloader/collate_fns/collator_wrapper.py @@ -79,6 +79,24 @@ def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: def _mask_target( self, target: torch.Tensor, b_mask_token_id: int, e_mask_token_id: int, loss_ignore_index: int ) -> torch.Tensor: + """ + We mask the target tensor with loss_ignore_index between, but not inclusive the begin and end mask token. + We do this vectorizes, as this is fast. + Example: + sample_orig = [2,2,3,2, 2,4,2,2,2] + sample = [2,2,3,2, 2,4,2,2] # from collate_fn + target = [2,3,2,2, 4,2,2,2] # from collate_fn + mask_initially = [0,0,0,0, 0,0,0,0] # mask = torch.zeros_like(target) + mask_shifted_1 = [0,0,1,0, 0,0,0,0] # mask[:, 1:] += torch.where(target != b_mask_token_id, 0, 1)[:, :-1] + mask_shifted_2 = [0,0,1,0,-1,0,0,0] # mask += torch.where(target != e_mask_token_id, 0, -1) + mask_cumsum = [0,0,1,1, 0,0,0,0] # include_to_loss_mask = mask.cumsum(-1) + + + By shifting only the b_mask_token_id to the right, we exclude the begin mask token from the loss, as otherwise + cumsum would include the begin mask token. Example without shift: + mask_no_shift_2 [0,1,0,0,-1,0,0,0] + cumsum_no_shift [0,1,1,1, 0,0,0,0] + """ error_msg = "" if b_mask_token_id not in target: error_msg += "b_mask_token_id not found in target." @@ -107,14 +125,11 @@ def _mask_target( + "This is not supported by the LossMaskingCollateFnWrapper." + "Make sure to use padding and truncation with the tokenizer for PackedMemMapDatasetContinuous" ) - # note: to enable splitted assistant answers uncomment: - # mask[:, 0] = end_before_begin.squeeze(-1) # mark all tokens beween 1 (begin mask token indicator) and -1 (end mask token indicator) with 1 - # this includes the 1, but due to the shift above, we exclude both! + # this includes the -1, but due to the shift above, we exclude both! include_to_loss_mask = mask.cumsum(-1) - # TODO check that we have the mask with values between -1 and 1, otherwise the tokens would not be alternating if (mask > 1).any() or (mask < -1).any(): raise ValueError( "Masking tokens are not alternating in the target. " From 483ea83a6f4a2c92cafcfeeb6a770cfa0582de52 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 5 Aug 2024 16:46:55 +0200 Subject: [PATCH 47/70] chore: moved SFTConfig and tests --- src/modalities/config/instantiation_models.py | 17 ++++++- src/modalities/config/sft_config.py | 20 -------- .../dataloader/apply_chat_template.py | 4 +- .../files/lorem_ipsum_sft.jsonl | 50 +++++++++++++++++++ .../test_e2e_instruction_tuning.py | 33 ++++++++++++ .../test_loss_masking.py | 0 6 files changed, 101 insertions(+), 23 deletions(-) create mode 100644 tests/instruction_tuning/files/lorem_ipsum_sft.jsonl create mode 100644 tests/instruction_tuning/test_e2e_instruction_tuning.py rename tests/{ => instruction_tuning}/test_loss_masking.py (100%) diff --git a/src/modalities/config/instantiation_models.py b/src/modalities/config/instantiation_models.py index 4ad21387..af0002ee 100644 --- a/src/modalities/config/instantiation_models.py +++ b/src/modalities/config/instantiation_models.py @@ -1,6 +1,6 @@ import os from pathlib import Path -from typing import Annotated, Dict, List, Optional +from typing import Annotated, Any, Dict, List, Optional from pydantic import BaseModel, Field, FilePath, field_validator @@ -88,3 +88,18 @@ def parse_device(cls, device) -> PydanticPytorchDeviceType: text_inference_component: PydanticTextInferenceComponentType settings: TextGenerationSettings + + +class InstructionTuningInstantiationModel(BaseModel): + class Settings(BaseModel): + src_path: FilePath + dst_path: Path + conversations_key: str + + class InstructionDataTransformation(BaseModel): + role_mapping: Dict[str, str] + + settings: Settings + instruction_data_transformation: InstructionDataTransformation + jinja2_chat_template: str + chat_template_data: Dict[str, Any] diff --git a/src/modalities/config/sft_config.py b/src/modalities/config/sft_config.py index 8fce39e5..8b137891 100644 --- a/src/modalities/config/sft_config.py +++ b/src/modalities/config/sft_config.py @@ -1,21 +1 @@ -from pathlib import Path -from typing import Any, Dict -from pydantic import BaseModel, FilePath - - -class Settings(BaseModel): - src_path: FilePath - dst_path: Path - conversations_key: str - - -class InstructionDataTransformation(BaseModel): - role_mapping: Dict[str, str] - - -class SFTConfig(BaseModel): - settings: Settings - instruction_data_transformation: InstructionDataTransformation - jinja2_chat_template: str - chat_template_data: Dict[str, Any] diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index c85580a8..8359bcd4 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -10,12 +10,12 @@ from jinja2.sandbox import ImmutableSandboxedEnvironment from modalities.config.config import load_app_config_dict -from modalities.config.sft_config import SFTConfig +from modalities.config.instantiation_models import InstructionTuningInstantiationModel def apply_chat_template(config_file_path: Path): config_dict = load_app_config_dict(config_file_path=config_file_path) - config = SFTConfig(**config_dict) + config = InstructionTuningInstantiationModel(**config_dict) instruction_data = _stream_jsonl(config.settings.src_path) chat_template = _get_chat_template(config.jinja2_chat_template) diff --git a/tests/instruction_tuning/files/lorem_ipsum_sft.jsonl b/tests/instruction_tuning/files/lorem_ipsum_sft.jsonl new file mode 100644 index 00000000..7c2a3211 --- /dev/null +++ b/tests/instruction_tuning/files/lorem_ipsum_sft.jsonl @@ -0,0 +1,50 @@ +{"id": 0, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}]} +{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}]} +{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}]} +{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}]} +{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}]} +{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}]} +{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}]} +{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} +{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} +{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} +{"id": 10, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}]} +{"id": 11, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}]} +{"id": 12, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}]} +{"id": 13, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}]} +{"id": 14, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}]} +{"id": 15, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}]} +{"id": 16, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}]} +{"id": 17, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} +{"id": 18, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} +{"id": 19, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} +{"id": 20, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}]} +{"id": 21, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}]} +{"id": 22, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}]} +{"id": 23, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}]} +{"id": 24, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}]} +{"id": 25, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}]} +{"id": 26, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}]} +{"id": 27, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} +{"id": 28, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} +{"id": 29, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} +{"id": 30, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}]} +{"id": 31, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}]} +{"id": 32, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}]} +{"id": 33, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}]} +{"id": 34, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}]} +{"id": 35, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}]} +{"id": 36, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}]} +{"id": 37, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} +{"id": 38, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} +{"id": 39, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} +{"id": 40, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}]} +{"id": 41, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}]} +{"id": 42, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}]} +{"id": 43, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}]} +{"id": 44, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}]} +{"id": 45, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}]} +{"id": 46, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}]} +{"id": 47, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}]} +{"id": 48, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}]} +{"id": 49, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}]} diff --git a/tests/instruction_tuning/test_e2e_instruction_tuning.py b/tests/instruction_tuning/test_e2e_instruction_tuning.py new file mode 100644 index 00000000..5de6c2b5 --- /dev/null +++ b/tests/instruction_tuning/test_e2e_instruction_tuning.py @@ -0,0 +1,33 @@ +from pathlib import Path + +from modalities.__main__ import Main, load_app_config_dict +from modalities.config.config import ProcessGroupBackendType +from modalities.config.instantiation_models import TrainingComponentsInstantiationModel +from modalities.running_env.cuda_env import CudaEnv +from tests.conftest import _ROOT_DIR + + +def test_e2e_instruction_tuning(monkeypatch): + monkeypatch.setenv("RANK", "0") + monkeypatch.setenv("LOCAL_RANK", "0") + monkeypatch.setenv("WORLD_SIZE", "1") + monkeypatch.setenv("MASTER_ADDR", "localhost") + monkeypatch.setenv("MASTER_PORT", "9949") + + # Load config + dummy_config_path = _ROOT_DIR / Path("config_files/training/config_lorem_ipsum_sft.yaml") + config_dict = load_app_config_dict(dummy_config_path) + + # Disable checkpointing + config_dict["checkpoint_saving"]["config"]["checkpoint_saving_strategy"]["config"]["k"] = 0 + # Here we need to set it to the batched size of our dataset + 1 to not abort early + # With the original configuration as above and data prallel of 2 total_steps of 16 per GPU is okay, + # as the real total_steps (which is 12) is smaller + config_dict["scheduler"]["config"]["total_steps"] = 24 + 1 + + main = Main(dummy_config_path) + main.config_dict = config_dict + + with CudaEnv(process_group_backend=ProcessGroupBackendType.nccl): + components = main.build_components(components_model_type=TrainingComponentsInstantiationModel) + main.run(components) diff --git a/tests/test_loss_masking.py b/tests/instruction_tuning/test_loss_masking.py similarity index 100% rename from tests/test_loss_masking.py rename to tests/instruction_tuning/test_loss_masking.py From 4ea1d7690b6c9843e33992d87a7ee66cc6dac38b Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 12 Aug 2024 11:38:35 +0200 Subject: [PATCH 48/70] chore: update SFT README --- SFT_README.md | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/SFT_README.md b/SFT_README.md index 0e4a75d2..7f45f83e 100644 --- a/SFT_README.md +++ b/SFT_README.md @@ -65,6 +65,7 @@ Make sure to use the wrapped collate function. * You need to look up the `b_include_to_loss_token` and `e_include_to_loss_token` as defined within your `sft_chat_template_config.aadd295.yaml`. If configured the pbin creation correctly, you only need to check for matching hash suffixes. * Set the `loss_ignore_index` which gets ignored by your loss function. In torch this is usually -100. * We need a tokenizer to tokenize the `b_include_to_loss_token` and `e_include_to_loss_token` +* We need to not re-use the last token For example (Copied from [config_files/training/config_lorem_ipsum_sft.yaml](config_files/training/config_lorem_ipsum_sft.yaml)): ```yaml @@ -88,6 +89,20 @@ collate_fn: instance_key: tokenizer pass_type: BY_REFERENCE ``` +and +```yaml +train_dataset: + component_key: dataset + variant_key: packed_mem_map_dataset_continuous + config: + raw_data_path: ./data/lorem_ipsum_sft_converted.aadd295.pbin + sequence_length: ${settings.training.sequence_length} + sample_key: ${settings.referencing_keys.sample_key} + reuse_last_target: true +``` + +# TODO +Reuse last token Finally, run the instruction-tuning with the `run` entry point: ```bash From 39454260094cb39661dd8df4bafc097d1ea7fd90 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 12 Aug 2024 17:36:01 +0200 Subject: [PATCH 49/70] chore: test for reuse last target, update sft readme, create folder for chat template related data, add special tokens for HF tokenizers --- SFT_README.md | 151 +++++++++++++++--- .../apply_chat_template_config.yaml | 5 + .../packed_chat_dataset_config.yaml | 10 +- .../training/config_lorem_ipsum_sft.yaml | 7 +- .../lorem_ipsum_sft_converted.40e0699.idx | Bin 0 -> 415 bytes .../lorem_ipsum_sft_converted.40e0699.jsonl | 50 ++++++ .../lorem_ipsum_sft_converted.40e0699.pbin} | Bin 205395 -> 205395 bytes .../packed_chat_dataset_config.40e0699.yaml | 26 +++ .../sft_chat_template_config.40e0699.yaml} | 7 +- data/lorem_ipsum_sft_converted.aadd295.idx | Bin 415 -> 0 bytes data/lorem_ipsum_sft_converted.aadd295.jsonl | 50 ------ src/modalities/__main__.py | 9 ++ src/modalities/config/config.py | 3 +- .../dataloader/apply_chat_template.py | 17 +- .../tokenization/tokenizer_wrapper.py | 6 + tests/dataloader/test_packed_dataset.py | 27 +++- 16 files changed, 282 insertions(+), 86 deletions(-) create mode 100644 data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.idx create mode 100644 data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.jsonl rename data/{lorem_ipsum_sft_converted.aadd295.pbin => lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.pbin} (96%) create mode 100644 data/lorem_ipsum_sft_40e0699/packed_chat_dataset_config.40e0699.yaml rename data/{sft_chat_template_config.aadd295.yaml => lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml} (65%) delete mode 100644 data/lorem_ipsum_sft_converted.aadd295.idx delete mode 100644 data/lorem_ipsum_sft_converted.aadd295.jsonl diff --git a/SFT_README.md b/SFT_README.md index 7f45f83e..4992ac42 100644 --- a/SFT_README.md +++ b/SFT_README.md @@ -3,13 +3,15 @@ Currently supported are Instruction-tuning and Low-rank Adaption (LorA), as explained in more detail next. ## Instruction-tuning -* entry point to prepare data -* jinja2 templates -* The b_include_to_loss_token, e_include_to_loss_token are required to be part of each chat template for proper loss masking! -* hash to connect files - -* truncation, padding -* re-use last target +> Instruction-tuning currently only works with fast and slow Huggingface tokenizers, as the special tokens need to be added to the tokenizer. + +The goal of instruction-tuning is to let the model learn instruction-following capabilites, so that it acts as an helpful assistant within an chat environment. +For this, we need to further fine-tune the model on conversational instruction data. +Specifically, we need the model to only learn to act as the assistant. Hence, we allow full attention on conversation, but calculate the loss only on the assistants untterances. + +For example, we only calculate the loss for the words not struck-trough: + +> ~~You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^~~The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n°~~$User1: Thank you for the advice.\nAssistant:^~~You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n°~~$~~ ### Create Prompts from Conversations To prepare the instruction-tuning data we created a new entry point `apply_chat_template`, which requires a [configuration file](./config_files/data_preparation/apply_chat_template_config.yaml). Wihtin it we define: @@ -17,11 +19,50 @@ To prepare the instruction-tuning data we created a new entry point `apply_chat_ * A [jinja2](https://jinja.palletsprojects.com/en/3.1.x/) chat template which defines the rules how to glue `chat_template_data` and the data within the JSONL together to one `chat` string. As part of the `chat_template_data`, we require the special tokens `b_include_to_loss_token` and `e_include_to_loss_token`. -> ❗ You should choose sequences which are tokenized into a single token and will not appear in the assistant utterances of the instruction-tuning data! - -They are used to mark the begin and end of the assistant turns, as we need to include only tokens between those into the loss computation during instruction-tuning with modalities. +To prepare the instruction-tuning data we created a new entry point `apply_chat_template`, which requires a [configuration file](./config_files/data_preparation/apply_chat_template_config.yaml). Within it we define the path to instruction-tuning dataset as a JSONL file, in which each line contains a structured conversation as an array of dictionaries. + +##### Example + +Input JSONL file entry: +```json +{ + "id": 16, + "conversations": [ + { + "from": "human_1", + "value": "What is the best way to learn a new language?" + }, + { + "from": "gpt", + "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers." + }, + { + "from": "human_1", + "value": "Thank you for the advice." + }, + { + "from": "gpt", + "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask." + } + ] +} +``` +Config: ```yaml +settings: + src_path: data/lorem_ipsum_sft.jsonl + dst_path: data/lorem_ipsum_sft_converted.jsonl + conversations_key: conversations + +instruction_data_transformation: + role_mapping: + human_1: User1 + human_2: User2 + gpt: Assistant + +... + chat_template_data: ... special_tokens: @@ -29,26 +70,53 @@ chat_template_data: e_include_to_loss_token: $ ``` +Created JSONL file entry: +```json +{ + "id": 16, + "conversations": [ + { + "from": "User1", + "value": "What is the best way to learn a new language?" + }, + { + "from": "Assistant", + "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers." + }, + { + "from": "User1", + "value": "Thank you for the advice." + }, + { + "from": "Assistant", + "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask." + } + ], + "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n°$" +} +``` + Run the `apply_chat_template` entry point with: ```bash modalities data apply_chat_template --config_file_path config_files/data_preparation/apply_chat_template_config.yaml ``` This will create two files -1. The new JSONL file with a new attribute `chat` containing the conversations e.g. `lorem_ipsum_sft_converted.aadd295.jsonl` -2. The config used to generate the `chat` e.g. `sft_chat_template_config.aadd295.yaml` +1. The new JSONL file with a new attribute `chat` containing the conversations e.g. `lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.jsonl` +2. The config used to generate the `chat` e.g. `lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml` > Both files names contain the first 7 symbols of the hash of the config file, to group files which belong together! +> Also, a new directory with the original dataset file name and the hash in it its name is created. ### Create idx and pbin files -Before continuing with the instruction-tuning you need to index the created JSONL and convert it to a packed data file. +Before continuing with the instruction-tuning you need to index the created JSONL and convert it to a tokenized binary file. > Make sure to use the same hash for correct grouping when defining the output file names! For example: ```bash # create idx file -modalities data create_raw_index --index_path data/lorem_ipsum_sft_converted.aadd295.idx data/lorem_ipsum_sft_converted.aadd295.jsonl +modalities data create_raw_index --index_path data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.idx data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.jsonl # create pbin file modalities data pack_encoded_data --config_file_path config_files/data_preparation/packed_chat_dataset_config.yaml @@ -56,13 +124,22 @@ modalities data pack_encoded_data --config_file_path config_files/data_preparat > The [packed_chat_dataset_config.yaml](config_files/data_preparation/packed_chat_dataset_config.yaml) must use truncation and padding! +In summary, the automatically created folder for all files related to the instruction-tuning data, should look as follows (the hash value might be different depending on your intial apply chat template configuration file): + +> lorem_ipsum_sft_40e0699 +> ├── lorem_ipsum_sft_converted.40e0699.idx +> ├── lorem_ipsum_sft_converted.40e0699.jsonl +> ├── lorem_ipsum_sft_converted.40e0699.pbin +> ├── packed_chat_dataset_config.40e0699.yaml +> └── sft_chat_template_config.40e0699.yaml + ### Instruction-Tuning With your prepared instruction-tuning data as pbin file, you can now instruction-tune. Make sure to use the wrapped collate function. -* You need to look up the `b_include_to_loss_token` and `e_include_to_loss_token` as defined within your `sft_chat_template_config.aadd295.yaml`. If configured the pbin creation correctly, you only need to check for matching hash suffixes. +* You need to look up the `b_include_to_loss_token` and `e_include_to_loss_token` as defined within your `sft_chat_template_config.40e0699.yaml`. If configured the pbin creation correctly, you only need to check for matching hash suffixes. * Set the `loss_ignore_index` which gets ignored by your loss function. In torch this is usually -100. * We need a tokenizer to tokenize the `b_include_to_loss_token` and `e_include_to_loss_token` * We need to not re-use the last token @@ -89,26 +166,62 @@ collate_fn: instance_key: tokenizer pass_type: BY_REFERENCE ``` -and + +with + ```yaml train_dataset: component_key: dataset variant_key: packed_mem_map_dataset_continuous config: - raw_data_path: ./data/lorem_ipsum_sft_converted.aadd295.pbin + raw_data_path: ./data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.pbin sequence_length: ${settings.training.sequence_length} sample_key: ${settings.referencing_keys.sample_key} reuse_last_target: true ``` -# TODO -Reuse last token +and with + +```yaml +tokenizer: + component_key: tokenizer + variant_key: pretrained_hf_tokenizer + config: + pretrained_model_name_or_path: data/tokenizer/hf_gpt2 + padding: false + truncation: false + special_tokens: + additional_special_tokens: + - "^" + - "$" +``` Finally, run the instruction-tuning with the `run` entry point: ```bash torch.distributed.run --nnodes 1 --nproc_per_node 2 --rdzv-endpoint=0.0.0.0:29555 src/modalities/__main__.py run --config_file_path config_files/training/config_lorem_ipsum_sft.yaml ``` +> Note, that it is advised to add a special token (which is already known as non-special token to the tokenizers' voabulary) to indicate the end of an assistant turn within the `b_include_to_loss_token` and `e_include_to_loss_token` in your chat template. Change your chat template accordingly and make sure to inlcude this token as special token in the tokenizer configuration for the pbin file creation step and model training! + +#### A Note on Tokanization in Huggingface +The special tokens are added to a [Trie](https://en.wikipedia.org/wiki/Trie), so that longer special tokens are split first and then shorter special tokens. +Example from the huggingface documentation: + +```python +>>> trie = Trie() +>>> trie.split("[CLS] This is a extra_id_100") +["[CLS] This is a extra_id_100"] + +>>> trie.add("[CLS]") +>>> trie.add("extra_id_1") +>>> trie.add("extra_id_100") +>>> trie.split("[CLS] This is a extra_id_100") +["[CLS]", " This is a ", "extra_id_100"] +``` + +When we add a special token, which exists within the tokenizer voabulary already, HF only marks it as special token (adds it to the trie). +This means, if the sequence we add as special token already exists in the vocab, there is no need to resize the embedding matrix! + ## Low-rank Adaption (LorA) TBD diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 8ea32cfc..e4a61c51 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -31,7 +31,12 @@ jinja2_chat_template: | chat_template_data: assistant_role: Assistant system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." + # Currently only works with HF tokenizers, as the special tokens are added to the tokenizer special_tokens: + # tokens to indicate the beginning and end of the assistant's response, only needed for proper loss masking b_include_to_loss_token: ^ e_include_to_loss_token: $ + # the user must need to know that any special tokens must be re-introduced in the pbin file creation config and the training config + # if not the training will run, but the e_assistant_token might not be learned correctly, as it is per default not a special token in the tokenizer + # the e_assistant_token is used to mask the end of the assistant's response. It will be trained and can be used as early stopping criterion during generation in inference mode e_assistant_token: ° diff --git a/config_files/data_preparation/packed_chat_dataset_config.yaml b/config_files/data_preparation/packed_chat_dataset_config.yaml index cd86fe88..9df71fc8 100644 --- a/config_files/data_preparation/packed_chat_dataset_config.yaml +++ b/config_files/data_preparation/packed_chat_dataset_config.yaml @@ -1,7 +1,7 @@ settings: - src_path: data/lorem_ipsum_sft_converted.aadd295.jsonl - dst_path: data/lorem_ipsum_sft_converted.aadd295.pbin - index_path: data/lorem_ipsum_sft_converted.aadd295.idx + src_path: data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.jsonl + dst_path: data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.pbin + index_path: data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.idx jq_pattern: .chat num_cpus: 1 eod_token: <|endoftext|> @@ -20,3 +20,7 @@ tokenizer: max_length: ${settings.sequence_length} special_tokens: pad_token: ${settings.eod_token} + additional_special_tokens: + - "^" + - "$" + - "°" diff --git a/config_files/training/config_lorem_ipsum_sft.yaml b/config_files/training/config_lorem_ipsum_sft.yaml index 5d6fbee3..592bf1b5 100644 --- a/config_files/training/config_lorem_ipsum_sft.yaml +++ b/config_files/training/config_lorem_ipsum_sft.yaml @@ -44,7 +44,7 @@ train_dataset: component_key: dataset variant_key: packed_mem_map_dataset_continuous config: - raw_data_path: ./data/lorem_ipsum_sft_converted.aadd295.pbin + raw_data_path: ./data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.pbin sequence_length: ${settings.training.sequence_length} sample_key: ${settings.referencing_keys.sample_key} reuse_last_target: false @@ -263,6 +263,11 @@ tokenizer: pretrained_model_name_or_path: data/tokenizer/hf_gpt2 padding: false truncation: false + special_tokens: + additional_special_tokens: + - "^" + - "$" + - "°" scheduler: component_key: scheduler diff --git a/data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.idx b/data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.idx new file mode 100644 index 0000000000000000000000000000000000000000..92ce00c52352ba08d860f69dc39a1aba7d578126 GIT binary patch literal 415 zcmZo*nL34$0SscNXm~UDmNU0a@vUa|HDm$O>)CzRg6ISu--#gcFZ{moAUaIgcOgjp zm$+{~i0+Z`jR(>16nyW3=yR&Rr6Af(%eMlg{*bP(5s3fY(03h(UTNk#2_$Z3<(mMa z7uxzR0;_lOodBY5y7?x6Xd7?edmvgiz_$!UPYZ#VClmoO&pifW-p>Sxd3`Am^FF3S z%$t@2F;BA)VqQ-v#Jt=phmHphS0%4fjL{DW_MfdcbmMgYGAbn5^B delta 1103 zcmcb7gy-@Ro(XwO3NjN5T!7^Cdk&0NKzj2B0~!9w0tz;h<2HDJ#4mhcOo51tfy9e| z?5PKsK-6@FL`ENo)EU0X3JdHe2N;Ba#DQ8QChs#afXJ=l2hx)_JOD`nO;6*W-Y|hN z2BhxZ1c=cFAGd(iOgqS^GF@&VqaH-z7ryBR3XC4p=LIk&fMf%iqCgS~h1;NtS0%4fjL{DW_MfdcbmMgSLxU`qf1 diff --git a/data/lorem_ipsum_sft_40e0699/packed_chat_dataset_config.40e0699.yaml b/data/lorem_ipsum_sft_40e0699/packed_chat_dataset_config.40e0699.yaml new file mode 100644 index 00000000..9df71fc8 --- /dev/null +++ b/data/lorem_ipsum_sft_40e0699/packed_chat_dataset_config.40e0699.yaml @@ -0,0 +1,26 @@ +settings: + src_path: data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.jsonl + dst_path: data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.pbin + index_path: data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.idx + jq_pattern: .chat + num_cpus: 1 + eod_token: <|endoftext|> + processing_batch_size: 5 + raw_samples_queue_size: 300 + processed_samples_queue_size: 300 + sequence_length: 2048 + +tokenizer: + component_key: tokenizer + variant_key: pretrained_hf_tokenizer + config: + pretrained_model_name_or_path: data/tokenizer/hf_gpt2 + padding: max_length + truncation: true + max_length: ${settings.sequence_length} + special_tokens: + pad_token: ${settings.eod_token} + additional_special_tokens: + - "^" + - "$" + - "°" diff --git a/data/sft_chat_template_config.aadd295.yaml b/data/lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml similarity index 65% rename from data/sft_chat_template_config.aadd295.yaml rename to data/lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml index 7b1b4960..e4a61c51 100644 --- a/data/sft_chat_template_config.aadd295.yaml +++ b/data/lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml @@ -1,7 +1,7 @@ settings: src_path: data/lorem_ipsum_sft.jsonl dst_path: data/lorem_ipsum_sft_converted.jsonl - conversations_key: 'conversations' + conversations_key: conversations instruction_data_transformation: role_mapping: @@ -31,7 +31,12 @@ jinja2_chat_template: | chat_template_data: assistant_role: Assistant system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." + # Currently only works with HF tokenizers, as the special tokens are added to the tokenizer special_tokens: + # tokens to indicate the beginning and end of the assistant's response, only needed for proper loss masking b_include_to_loss_token: ^ e_include_to_loss_token: $ + # the user must need to know that any special tokens must be re-introduced in the pbin file creation config and the training config + # if not the training will run, but the e_assistant_token might not be learned correctly, as it is per default not a special token in the tokenizer + # the e_assistant_token is used to mask the end of the assistant's response. It will be trained and can be used as early stopping criterion during generation in inference mode e_assistant_token: ° diff --git a/data/lorem_ipsum_sft_converted.aadd295.idx b/data/lorem_ipsum_sft_converted.aadd295.idx deleted file mode 100644 index b4a07b3dbcb326a0326b4e6b59b372996bb4cfba..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 415 zcmZo*nL34$0SscNXm~UDRx!6t@vUa|HD&?Q>)CxbfanAs-^n2HFZ{lVAUaIgcQHu( zm$>gl5Zxo=n+T%cDfr$8(dSfs%R#i87SJdleMr~W1jPSt=(`a_uQcjm^X7P#5}#75c4MPftY7@5MtiRqY(3SPC?A$J?~oy I^lz#j0483dTL1t6 diff --git a/data/lorem_ipsum_sft_converted.aadd295.jsonl b/data/lorem_ipsum_sft_converted.aadd295.jsonl deleted file mode 100644 index 2bc5a122..00000000 --- a/data/lorem_ipsum_sft_converted.aadd295.jsonl +++ /dev/null @@ -1,50 +0,0 @@ -{"id": 0, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n\u00b0$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n\u00b0$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n\u00b0$"} -{"id": 1, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n\u00b0$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n\u00b0$"} -{"id": 2, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n\u00b0$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n\u00b0$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n\u00b0$"} -{"id": 3, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n\u00b0$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n\u00b0$"} -{"id": 4, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n\u00b0$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n\u00b0$"} -{"id": 5, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n\u00b0$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n\u00b0$"} -{"id": 6, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 7, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 8, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 9, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 10, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n\u00b0$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n\u00b0$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n\u00b0$"} -{"id": 11, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n\u00b0$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n\u00b0$"} -{"id": 12, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n\u00b0$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n\u00b0$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n\u00b0$"} -{"id": 13, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n\u00b0$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n\u00b0$"} -{"id": 14, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n\u00b0$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n\u00b0$"} -{"id": 15, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n\u00b0$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n\u00b0$"} -{"id": 16, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 17, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 18, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 19, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 20, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n\u00b0$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n\u00b0$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n\u00b0$"} -{"id": 21, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n\u00b0$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n\u00b0$"} -{"id": 22, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n\u00b0$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n\u00b0$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n\u00b0$"} -{"id": 23, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n\u00b0$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n\u00b0$"} -{"id": 24, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n\u00b0$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n\u00b0$"} -{"id": 25, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n\u00b0$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n\u00b0$"} -{"id": 26, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 27, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 28, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 29, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 30, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n\u00b0$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n\u00b0$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n\u00b0$"} -{"id": 31, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n\u00b0$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n\u00b0$"} -{"id": 32, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n\u00b0$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n\u00b0$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n\u00b0$"} -{"id": 33, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n\u00b0$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n\u00b0$"} -{"id": 34, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n\u00b0$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n\u00b0$"} -{"id": 35, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n\u00b0$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n\u00b0$"} -{"id": 36, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 37, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 38, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 39, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 40, "conversations": [{"from": "human_1", "value": "What is up?`"}, {"from": "gpt", "value": "Hello! How can I help you today?"}, {"from": "human_1", "value": "Who are you?"}, {"from": "gpt", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "human_2", "value": "Goodbye"}, {"from": "gpt", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n\u00b0$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n\u00b0$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n\u00b0$"} -{"id": 41, "conversations": [{"from": "human_1", "value": "How does AI work?"}, {"from": "gpt", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n\u00b0$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n\u00b0$"} -{"id": 42, "conversations": [{"from": "human_1", "value": "Can you write a poem?"}, {"from": "gpt", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "human_1", "value": "Write about the sea."}, {"from": "gpt", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "human_2", "value": "That's beautiful, thanks!"}, {"from": "gpt", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n\u00b0$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n\u00b0$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n\u00b0$"} -{"id": 43, "conversations": [{"from": "human_1", "value": "What's the weather like today?"}, {"from": "gpt", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "human_1", "value": "Yes, please."}, {"from": "gpt", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n\u00b0$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n\u00b0$"} -{"id": 44, "conversations": [{"from": "human_1", "value": "What is the capital of France?"}, {"from": "gpt", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "human_1", "value": "No, but I'd love to visit someday."}, {"from": "gpt", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n\u00b0$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n\u00b0$"} -{"id": 45, "conversations": [{"from": "human_1", "value": "What is the meaning of life?"}, {"from": "gpt", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "human_1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "gpt", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n\u00b0$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n\u00b0$"} -{"id": 46, "conversations": [{"from": "human_1", "value": "What is the best way to learn a new language?"}, {"from": "gpt", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 47, "conversations": [{"from": "human_1", "value": "What is the best way to stay healthy?"}, {"from": "gpt", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 48, "conversations": [{"from": "human_1", "value": "What is the best way to study for exams?"}, {"from": "gpt", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n\u00b0$"} -{"id": 49, "conversations": [{"from": "human_1", "value": "What is the best way to save money?"}, {"from": "gpt", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "human_1", "value": "Thank you for the advice."}, {"from": "gpt", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n\u00b0$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n\u00b0$"} diff --git a/src/modalities/__main__.py b/src/modalities/__main__.py index 29ed624a..d904e20b 100644 --- a/src/modalities/__main__.py +++ b/src/modalities/__main__.py @@ -147,6 +147,15 @@ def entry_point_pack_encoded_data(config_file_path: FilePath): # This could get resolved by implementing on own ResolverRegistry for each entrypoint or adapting the existing # ResolverRegistry to work dynamically with any type-hinted config object from config.py. config = load_app_config_dict(config_file_path) + + # copy the config file to the src_path parent and append the original hash + src_path = Path(config["settings"]["src_path"]) + src_path_has_hash_suffix = len(src_path.suffixes) > 1 and len(src_path.suffixes[0]) == 7 + if src_path_has_hash_suffix: + hash_suffix = src_path.suffixes[0] + config_file_name_with_hash = config_file_path.stem + hash_suffix + "".join(config_file_path.suffixes) + shutil.copyfile(config_file_path, src_path.parent / config_file_name_with_hash) + registry = Registry(COMPONENTS) component_factory = ComponentFactory(registry=registry) components: PackedDatasetComponentsInstantiationModel = component_factory.build_components( diff --git a/src/modalities/config/config.py b/src/modalities/config/config.py index 6566592b..414fef46 100644 --- a/src/modalities/config/config.py +++ b/src/modalities/config/config.py @@ -240,11 +240,12 @@ class PreTrainedHFTokenizerConfig(BaseModel): max_length: Optional[Annotated[int, Field(strict=True, ge=0)]] = None truncation: bool = False padding: bool | str = False - special_tokens: Optional[Dict[str, str]] = None + special_tokens: Optional[Dict[str, str | List | Tuple]] = None class PreTrainedSPTokenizerConfig(BaseModel): tokenizer_model_file: str + # TODO: add support for special tokens, see issue #222 class DistributedSamplerConfig(BaseModel): diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index 8359bcd4..8c42a9fa 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -19,19 +19,24 @@ def apply_chat_template(config_file_path: Path): instruction_data = _stream_jsonl(config.settings.src_path) chat_template = _get_chat_template(config.jinja2_chat_template) + # we want to have all files of the same hash in the same directory dst_path = Path(config.settings.dst_path) # similar to github only use the first 7 characters of the hash for readability hash_str = _hash_sum_file_sha256(config_file_path)[:7] + dst_path = dst_path.parent / f"{config.settings.src_path.stem}_{hash_str}" / dst_path.name + dst_path.parent.mkdir(parents=True, exist_ok=True) + _store_config_file_with_hash(config_file_path, dst_path, hash_str) dst_path_with_uuid = dst_path.with_suffix(f".{hash_str}" + "".join(dst_path.suffixes)) - with dst_path_with_uuid.open("w") as output_file: + with dst_path_with_uuid.open("w", encoding="utf-8") as output_file: for entry in instruction_data: conversation = entry[config.settings.conversations_key] conversation = _map_roles(conversation, config.instruction_data_transformation.role_mapping) chat = chat_template.render(conversation=conversation, chat_template_data=config.chat_template_data) entry["chat"] = chat - json.dump(entry, output_file) + json.dump(entry, output_file, ensure_ascii=False) output_file.write("\n") + print(f"Chat template applied and saved to {dst_path_with_uuid}") def _hash_sum_file_sha256(file_path: Path) -> str: @@ -58,7 +63,13 @@ def _get_chat_template(jinja2_chat_template: str) -> Template: def _map_roles(conversation: List[Dict[str, Any]], role_mapping: Dict[str, str]) -> List[Dict[str, Any]]: - return [{key: role_mapping.get(key=value, default=value) for key, value in turn.items()} for turn in conversation] + new_conversation = [] + for turn in conversation: + for key, value in turn.items(): + if key == "role" or key == "from": + turn[key] = role_mapping[value] + new_conversation.append(turn) + return new_conversation def _stream_jsonl(src_file_path: str) -> Generator[Dict[str, Any], None, None]: diff --git a/src/modalities/tokenization/tokenizer_wrapper.py b/src/modalities/tokenization/tokenizer_wrapper.py index e300ac2c..189aff9b 100644 --- a/src/modalities/tokenization/tokenizer_wrapper.py +++ b/src/modalities/tokenization/tokenizer_wrapper.py @@ -37,12 +37,18 @@ def __init__( self.tokenizer = AutoTokenizer.from_pretrained(pretrained_model_name_or_path=pretrained_model_name_or_path) if special_tokens is not None: + old_vocab_size = len(self.tokenizer.get_vocab()) # TODO check if we always want to set # replace_additional_special_tokens=False self.tokenizer.add_special_tokens( special_tokens_dict=special_tokens, replace_additional_special_tokens=False, ) + if len(self.tokenizer.get_vocab()) > old_vocab_size: + raise NotImplementedError( + "Currently only tokens already known to the tokenizers vocabulary can be added," + + " as resizing the embedding matrix is not yet supported!" + ) self.max_length = max_length self.truncation = truncation self.padding = padding diff --git a/tests/dataloader/test_packed_dataset.py b/tests/dataloader/test_packed_dataset.py index 9c988202..dfbcdcb0 100644 --- a/tests/dataloader/test_packed_dataset.py +++ b/tests/dataloader/test_packed_dataset.py @@ -21,7 +21,7 @@ def test_packed_megatron_dataset_loading(dummy_packed_data_path, block_size, exp @pytest.mark.parametrize( - "block_size, expected_length, expected_output", + "block_size, expected_length, expected_output, reuse_last_target", [ ( 2, @@ -47,6 +47,7 @@ def test_packed_megatron_dataset_loading(dummy_packed_data_path, block_size, exp [17, 18], [18, 19], ], + True, ), ( 3, @@ -62,18 +63,28 @@ def test_packed_megatron_dataset_loading(dummy_packed_data_path, block_size, exp [14, 15, 16], [16, 17, 18], ], + True, ), - (10, 2, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [9, 10, 11, 12, 13, 14, 15, 16, 17, 18]]), - (6, 3, [[0, 1, 2, 3, 4, 5], [5, 6, 7, 8, 9, 10], [10, 11, 12, 13, 14, 15]]), - (20, 1, [list(range(20))]), - (21, 0, ValueError), - (1, 0, ValueError), + (10, 2, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [9, 10, 11, 12, 13, 14, 15, 16, 17, 18]], True), + (6, 3, [[0, 1, 2, 3, 4, 5], [5, 6, 7, 8, 9, 10], [10, 11, 12, 13, 14, 15]], True), + (20, 1, [list(range(20))], True), + (21, 0, ValueError, True), + (1, 0, ValueError, True), + # "block_size, expected_length, expected_output, re_use_last_token", + # tokens = list(range(20)) + (2, 10, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11], [12, 13], [14, 15], [16, 17], [18, 19]], False), + (6, 3, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11], [12, 13, 14, 15, 16, 17]], False), ], ) -def test_packed_continuous_dataset_loading(dummy_packed_data_path, block_size, expected_length, expected_output): +def test_packed_continuous_dataset_loading( + dummy_packed_data_path, block_size, expected_length, expected_output, reuse_last_target +): try: ds = PackedMemMapDatasetContinuous( - raw_data_path=dummy_packed_data_path, block_size=block_size, sample_key="input_ids" + raw_data_path=dummy_packed_data_path, + block_size=block_size, + sample_key="input_ids", + reuse_last_target=reuse_last_target, ) except ValueError: assert expected_output == ValueError From eee2bac3123e988b0c7393b02689cc70e9f3f162 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 12 Aug 2024 18:16:50 +0200 Subject: [PATCH 50/70] chore: fix tokenization tests and renaming of loss masking config field --- tests/instruction_tuning/test_loss_masking.py | 2 +- tests/test_tokenization.py | 54 +++++++++++-------- 2 files changed, 32 insertions(+), 24 deletions(-) diff --git a/tests/instruction_tuning/test_loss_masking.py b/tests/instruction_tuning/test_loss_masking.py index ff482ecb..f32638d3 100644 --- a/tests/instruction_tuning/test_loss_masking.py +++ b/tests/instruction_tuning/test_loss_masking.py @@ -28,7 +28,7 @@ def dummy_tokenizer(): @pytest.fixture def loss_masking_config(dummy_tokenizer) -> LossMaskingCollateFnWrapperConfig: return dict( - collate_fn=GPT2LLMCollateFn(sample_key="sample", target_key="target"), + wrapped_collate_fn=GPT2LLMCollateFn(sample_key="sample", target_key="target"), target_keys_to_mask=["target"], loss_ignore_index=-100, mask_tokens=LossMaskingTokenConfig(b_include_to_loss_token="begin", e_include_to_loss_token="end"), diff --git a/tests/test_tokenization.py b/tests/test_tokenization.py index e75c5dcc..f2477243 100644 --- a/tests/test_tokenization.py +++ b/tests/test_tokenization.py @@ -1,3 +1,5 @@ +from typing import Dict + import numpy as np import pytest @@ -11,6 +13,10 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): assert len(token_ids) > 0 +def _get_special_tokens() -> Dict[str, str]: + return {"pad_token": "°"} + + @pytest.mark.parametrize( "text,tokenizer_config,expected_length,expected_num_padding_tokens", [ @@ -27,7 +33,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=False, padding="max_length", max_length=10, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 10, 4, @@ -39,7 +45,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding="max_length", max_length=10, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 10, 4, @@ -51,7 +57,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=False, padding="max_length", max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 1024, 1018, @@ -63,7 +69,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding="max_length", max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 1024, 1018, @@ -77,7 +83,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=False, padding=False, max_length=10, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 6, 0, @@ -89,7 +95,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding=False, max_length=10, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 6, 0, @@ -102,7 +108,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=False, padding=False, max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 6, 0, @@ -114,7 +120,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding=False, max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 6, 0, @@ -129,7 +135,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding=False, max_length=10, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 10, 0, @@ -141,7 +147,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding=True, max_length=10, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 10, 0, @@ -153,7 +159,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding=False, max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 15, 0, @@ -165,7 +171,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding=True, max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 15, 0, @@ -179,7 +185,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=False, padding=False, max_length=10, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 15, 0, @@ -191,7 +197,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=False, padding=True, max_length=10, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 15, 0, @@ -203,7 +209,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=False, padding=False, max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 15, 0, @@ -215,7 +221,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=False, padding=True, max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 15, 0, @@ -229,7 +235,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=False, padding=False, max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 1030, 0, @@ -241,7 +247,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=False, padding=True, max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 1030, 0, @@ -253,7 +259,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding=True, max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 1024, 0, @@ -268,7 +274,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding=True, max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 1020, 0, @@ -280,7 +286,7 @@ def _assert_tokenization(tokenizer: TokenizerWrapper): truncation=True, padding="max_length", max_length=None, - special_tokens={"pad_token": "[PAD]"}, + special_tokens=_get_special_tokens(), ), 1024, 4, @@ -305,10 +311,12 @@ def test_hf_tokenize( assert len(token_ids) == expected_length # check number of non-padding tokens (token_id = 43488 corresponds to "AAAAAAAA") - assert sum(np.array(token_ids) == 43488) == (expected_length - expected_num_padding_tokens) + non_pad_token_id = tokenizer.tokenize("AAAAAAAA")[0] + assert sum(np.array(token_ids) == non_pad_token_id) == (expected_length - expected_num_padding_tokens) # check number of padding tokens - assert sum(np.array(token_ids) == 50257) == expected_num_padding_tokens + pad_token_id = tokenizer.tokenize(_get_special_tokens()["pad_token"])[0] + assert sum(np.array(token_ids) == pad_token_id) == expected_num_padding_tokens @pytest.mark.skip(reason="Missing pretrained unigram sp tokenizer.") From 4f53f0c7c7fbf77c7621d3fef9e7402aae74b528 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 13 Aug 2024 13:33:43 +0200 Subject: [PATCH 51/70] chore: Update SFT_README.md MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Max Lübbering <2804731+le1nux@users.noreply.github.com> --- SFT_README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/SFT_README.md b/SFT_README.md index 4992ac42..b0fc2479 100644 --- a/SFT_README.md +++ b/SFT_README.md @@ -14,7 +14,7 @@ For example, we only calculate the loss for the words not struck-trough: > ~~You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^~~The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n°~~$User1: Thank you for the advice.\nAssistant:^~~You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n°~~$~~ ### Create Prompts from Conversations -To prepare the instruction-tuning data we created a new entry point `apply_chat_template`, which requires a [configuration file](./config_files/data_preparation/apply_chat_template_config.yaml). Wihtin it we define: +To prepare the instruction-tuning data we created a new entry point `apply_chat_template`, which requires a [configuration file](./config_files/data_preparation/apply_chat_template_config.yaml). Within it we define: * the path to instruction-tuning dataset as a JSONL file wereas each line contains a structured conversation as an array of dictionaries. * A [jinja2](https://jinja.palletsprojects.com/en/3.1.x/) chat template which defines the rules how to glue `chat_template_data` and the data within the JSONL together to one `chat` string. From ed50d2f65391564166bd5dba51d0397eef7d87dc Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 13 Aug 2024 14:35:59 +0200 Subject: [PATCH 52/70] docs: add doc strings --- .../dataloader/apply_chat_template.py | 12 +++++++++ .../collate_fns/collator_wrapper.py | 26 +++++++++++++++++++ src/modalities/dataloader/dataset.py | 11 ++++++++ src/modalities/dataloader/dataset_factory.py | 14 ++++++++++ 4 files changed, 63 insertions(+) diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index 8c42a9fa..3972e925 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -14,6 +14,18 @@ def apply_chat_template(config_file_path: Path): + """ + Applies a chat template to the given configuration file. + + Args: + config_file_path (Path): The path to the configuration file. + + Returns: + None + + Raises: + None + """ config_dict = load_app_config_dict(config_file_path=config_file_path) config = InstructionTuningInstantiationModel(**config_dict) instruction_data = _stream_jsonl(config.settings.src_path) diff --git a/src/modalities/dataloader/collate_fns/collator_wrapper.py b/src/modalities/dataloader/collate_fns/collator_wrapper.py index 496d24ff..32bdbadf 100644 --- a/src/modalities/dataloader/collate_fns/collator_wrapper.py +++ b/src/modalities/dataloader/collate_fns/collator_wrapper.py @@ -64,6 +64,18 @@ def __init__( ) def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: + """ + Collates a batch of data by calling the wrapped collate function and applies target masking. + + Args: + batch (List[Dict[str, torch.Tensor]]): A list of dictionaries, where each dictionary represents a sample + in the batch. Each dictionary contains keys corresponding to different data modalities and their + respective tensors. + + Returns: + DatasetBatch: A batch of collated data with masked targets. + + """ dataset_batch = self.wrapped_collate_fn(batch) for target_key_to_mask in self.target_keys_to_mask: target = dataset_batch.targets[target_key_to_mask] @@ -96,6 +108,20 @@ def _mask_target( cumsum would include the begin mask token. Example without shift: mask_no_shift_2 [0,1,0,0,-1,0,0,0] cumsum_no_shift [0,1,1,1, 0,0,0,0] + + Args: + target (torch.Tensor): The target tensor to be masked. + b_mask_token_id (int): The token ID indicating the beginning of the mask. + e_mask_token_id (int): The token ID indicating the end of the mask. + loss_ignore_index (int): The index to replace masked tokens with. + + Returns: + torch.Tensor: The masked target tensor. + + Raises: + ValueError: If the b_mask_token_id or e_mask_token_id is not found in the target tensor. + ValueError: If the end mask token indicator is before the begin mask token indicator in the target tensor. + ValueError: If the masking tokens are not alternating in the target tensor. """ error_msg = "" if b_mask_token_id not in target: diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index 7ba2d021..7bb6f8ed 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -181,6 +181,17 @@ def __getitem__(self, idx: int) -> BatchEncoding: class PackedMemMapDatasetContinuous(PackedMemMapDatasetBase): def __init__(self, raw_data_path: Path, sample_key: str, block_size: int, reuse_last_target: bool = True): + """ + Initializes a Dataset object. In case `reuse_last_target` is True, + we reuse the last target token as the first one for the next sample. If `reuse_last_target` is False, + we don't reuse the last target in the next sample but never have the the first token of a sample as the target. + + Args: + raw_data_path (Path): The path to the raw data. + sample_key (str): The key to access the sample data. + block_size (int): The size of each data block. + reuse_last_target (bool, optional): Whether to reuse the last target. Defaults to True. + """ self.block_size = block_size self.reuse_last_target = reuse_last_target super().__init__(raw_data_path=raw_data_path, sample_key=sample_key) diff --git a/src/modalities/dataloader/dataset_factory.py b/src/modalities/dataloader/dataset_factory.py index cad9284f..e9df3454 100644 --- a/src/modalities/dataloader/dataset_factory.py +++ b/src/modalities/dataloader/dataset_factory.py @@ -58,6 +58,20 @@ def get_mem_map_dataset( def get_packed_mem_map_dataset_continuous( raw_data_path: Path, sequence_length: int, sample_key: str, reuse_last_target: Optional[bool] = True ) -> PackedMemMapDatasetContinuous: + """ + Initializes a Dataset object. In case `reuse_last_target` is True, + we reuse the last target token as the first one for the next sample. If `reuse_last_target` is False, + we don't reuse the last target in the next sample but never have the the first token of a sample as the target. + + Args: + raw_data_path (Path): The path to the raw data. + sequence_length (int): The length of each sequence. + sample_key (str): The key to access the sample data. + reuse_last_target (Optional[bool], optional): Whether to reuse the last target. Defaults to True. + + Returns: + PackedMemMapDatasetContinuous: The created dataset object. + """ dataset = PackedMemMapDatasetContinuous( raw_data_path=raw_data_path, block_size=sequence_length + 1, From d5867a4f11c6e9c7ca5b430cde65d846e1f866ba Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 13 Aug 2024 15:08:07 +0200 Subject: [PATCH 53/70] chore: update instruction tuning e2e test with output artifact check --- .../test_e2e_instruction_tuning.py | 21 ++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/tests/instruction_tuning/test_e2e_instruction_tuning.py b/tests/instruction_tuning/test_e2e_instruction_tuning.py index 5de6c2b5..2ab032f6 100644 --- a/tests/instruction_tuning/test_e2e_instruction_tuning.py +++ b/tests/instruction_tuning/test_e2e_instruction_tuning.py @@ -7,7 +7,7 @@ from tests.conftest import _ROOT_DIR -def test_e2e_instruction_tuning(monkeypatch): +def test_e2e_instruction_tuning(monkeypatch, tmp_path): monkeypatch.setenv("RANK", "0") monkeypatch.setenv("LOCAL_RANK", "0") monkeypatch.setenv("WORLD_SIZE", "1") @@ -18,8 +18,13 @@ def test_e2e_instruction_tuning(monkeypatch): dummy_config_path = _ROOT_DIR / Path("config_files/training/config_lorem_ipsum_sft.yaml") config_dict = load_app_config_dict(dummy_config_path) - # Disable checkpointing - config_dict["checkpoint_saving"]["config"]["checkpoint_saving_strategy"]["config"]["k"] = 0 + checkpointing_path = tmp_path / "sft_checkpoints/" + config_dict["settings"]["paths"]["checkpointing_path"] = checkpointing_path.__str__() + config_dict["checkpoint_saving"]["config"]["checkpoint_saving_execution"]["config"][ + "checkpoint_path" + ] = checkpointing_path.__str__() + config_dict["checkpoint_saving"]["config"]["checkpoint_saving_strategy"]["config"]["k"] = 1 + # Here we need to set it to the batched size of our dataset + 1 to not abort early # With the original configuration as above and data prallel of 2 total_steps of 16 per GPU is okay, # as the real total_steps (which is 12) is smaller @@ -31,3 +36,13 @@ def test_e2e_instruction_tuning(monkeypatch): with CudaEnv(process_group_backend=ProcessGroupBackendType.nccl): components = main.build_components(components_model_type=TrainingComponentsInstantiationModel) main.run(components) + + assert ( + sum( + [ + "model" in path.name or "optimizer" in path.name or path.suffix == ".yaml" + for path in list(checkpointing_path.glob("*"))[0].glob("*") + ] + ) + == 3 + ), "Output of the test i.e. a model checkpoint was not created!" From 94d89cbcdab89730db20194ad4be92ed9ada3569 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 13 Aug 2024 17:13:04 +0200 Subject: [PATCH 54/70] chore: Update readme --- SFT_README.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/SFT_README.md b/SFT_README.md index b0fc2479..4d8f3e2f 100644 --- a/SFT_README.md +++ b/SFT_README.md @@ -201,10 +201,11 @@ Finally, run the instruction-tuning with the `run` entry point: torch.distributed.run --nnodes 1 --nproc_per_node 2 --rdzv-endpoint=0.0.0.0:29555 src/modalities/__main__.py run --config_file_path config_files/training/config_lorem_ipsum_sft.yaml ``` -> Note, that it is advised to add a special token (which is already known as non-special token to the tokenizers' voabulary) to indicate the end of an assistant turn within the `b_include_to_loss_token` and `e_include_to_loss_token` in your chat template. Change your chat template accordingly and make sure to inlcude this token as special token in the tokenizer configuration for the pbin file creation step and model training! +> Note, that it is advised to add a special token (which is already known as non-special token to the tokenizer's voabulary) to indicate the end of an assistant turn within the `b_include_to_loss_token` and `e_include_to_loss_token` in your chat template. Change your chat template accordingly and make sure to inlcude this token as special token in the tokenizer configuration for the pbin file creation step and model training! -#### A Note on Tokanization in Huggingface -The special tokens are added to a [Trie](https://en.wikipedia.org/wiki/Trie), so that longer special tokens are split first and then shorter special tokens. +#### A Note on Tokenization in Huggingface +The special tokens are added to a [Trie](https://en.wikipedia.org/wiki/Trie). +With that data structure, longer special tokens are matched with a higher priority than shorter ones. Regular tokens are tokenized after handling the special tokens first. Example from the huggingface documentation: ```python From 42cf6ce3f7df8e5e9a4ee845fa67cf2cf2331a2f Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 19 Aug 2024 09:56:19 +0200 Subject: [PATCH 55/70] chore: refine names of helper functions and doc strings --- src/modalities/dataloader/apply_chat_template.py | 14 +++++++------- ....py => collator_fn_wrapper_for_loss_masking.py} | 5 +++-- src/modalities/dataloader/dataset.py | 7 ++----- .../test_e2e_instruction_tuning.py | 3 +++ tests/instruction_tuning/test_loss_masking.py | 2 +- 5 files changed, 16 insertions(+), 15 deletions(-) rename src/modalities/dataloader/collate_fns/{collator_wrapper.py => collator_fn_wrapper_for_loss_masking.py} (96%) diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index 3972e925..2386ea67 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -34,16 +34,16 @@ def apply_chat_template(config_file_path: Path): # we want to have all files of the same hash in the same directory dst_path = Path(config.settings.dst_path) # similar to github only use the first 7 characters of the hash for readability - hash_str = _hash_sum_file_sha256(config_file_path)[:7] + hash_str = _get_hash_sum_sha256_of_file(config_file_path)[:7] dst_path = dst_path.parent / f"{config.settings.src_path.stem}_{hash_str}" / dst_path.name dst_path.parent.mkdir(parents=True, exist_ok=True) - _store_config_file_with_hash(config_file_path, dst_path, hash_str) + _store_config_file_with_hash_suffix(config_file_path, dst_path, hash_str) dst_path_with_uuid = dst_path.with_suffix(f".{hash_str}" + "".join(dst_path.suffixes)) with dst_path_with_uuid.open("w", encoding="utf-8") as output_file: for entry in instruction_data: conversation = entry[config.settings.conversations_key] - conversation = _map_roles(conversation, config.instruction_data_transformation.role_mapping) + conversation = _map_conversation_roles(conversation, config.instruction_data_transformation.role_mapping) chat = chat_template.render(conversation=conversation, chat_template_data=config.chat_template_data) entry["chat"] = chat json.dump(entry, output_file, ensure_ascii=False) @@ -51,7 +51,7 @@ def apply_chat_template(config_file_path: Path): print(f"Chat template applied and saved to {dst_path_with_uuid}") -def _hash_sum_file_sha256(file_path: Path) -> str: +def _get_hash_sum_sha256_of_file(file_path: Path) -> str: hash = hashlib.sha256() bytes = bytearray(128 * 1024) mem_view = memoryview(bytes) @@ -61,7 +61,7 @@ def _hash_sum_file_sha256(file_path: Path) -> str: return hash.hexdigest() -def _store_config_file_with_hash(config_file_path: Path, dst_path: Path, uuid_str: str) -> None: +def _store_config_file_with_hash_suffix(config_file_path: Path, dst_path: Path, uuid_str: str) -> None: out_config_file_path = dst_path.parent / f"sft_chat_template_config.{uuid_str}.yaml" shutil.copyfile(config_file_path, out_config_file_path) @@ -74,7 +74,7 @@ def _get_chat_template(jinja2_chat_template: str) -> Template: return compiled_chat_template -def _map_roles(conversation: List[Dict[str, Any]], role_mapping: Dict[str, str]) -> List[Dict[str, Any]]: +def _map_conversation_roles(conversation: List[Dict[str, Any]], role_mapping: Dict[str, str]) -> List[Dict[str, Any]]: new_conversation = [] for turn in conversation: for key, value in turn.items(): @@ -91,7 +91,7 @@ def _stream_jsonl(src_file_path: str) -> Generator[Dict[str, Any], None, None]: def _compile_jinja_template(chat_template: str) -> Template: - """Code taken from + """Code adapted from https://github.com/huggingface/transformers/blob/v4.42.0/src/transformers/tokenization_utils_base.py#L1906 """ diff --git a/src/modalities/dataloader/collate_fns/collator_wrapper.py b/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py similarity index 96% rename from src/modalities/dataloader/collate_fns/collator_wrapper.py rename to src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py index 32bdbadf..4174e482 100644 --- a/src/modalities/dataloader/collate_fns/collator_wrapper.py +++ b/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py @@ -46,7 +46,8 @@ def __init__( wrapped_collate_fn (CollateFnIF): The wrapped collate function. target_keys_to_mask (List[str]): The list of target keys to mask. loss_ignore_index (int): The index to ignore in the loss calculation. - mask_tokens (MaskingTokenConfig): The configuration for masking tokens. + mask_tokens (MaskingTokenConfig): Entails begin and end tokens, which mark (exclusive) inclusion to the + loss. tokenizer (TokenizerWrapper): The tokenizer wrapper. Raises: @@ -60,7 +61,7 @@ def __init__( self.e_mask_token_id = self.tokenizer.get_token_id(mask_tokens.e_include_to_loss_token) if self.b_mask_token_id == self.e_mask_token_id: raise ValueError( - "b_mask_token_id and e_mask_token_id of the " + "LossMaskingCollateFnWrapper must be different!" + "b_mask_token_id and e_mask_token_id of the LossMaskingCollateFnWrapper must be different!" ) def __call__(self, batch: List[Dict[str, torch.Tensor]]) -> DatasetBatch: diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index 7bb6f8ed..f32d17bb 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -189,7 +189,7 @@ def __init__(self, raw_data_path: Path, sample_key: str, block_size: int, reuse_ Args: raw_data_path (Path): The path to the raw data. sample_key (str): The key to access the sample data. - block_size (int): The size of each data block. + block_size (int): The size of each data block (equals to context size + 1). reuse_last_target (bool, optional): Whether to reuse the last target. Defaults to True. """ self.block_size = block_size @@ -207,11 +207,8 @@ def _generate_packing_index(self) -> List[Tuple[int, int]]: if self.block_size < 2: raise ValueError("Block size must be at least 2.") - # TODO ask Richard if this is actually needed. - # The collator discards the first target token and the last sample token if self.reuse_last_target: - # In this case we reuse the last target token as the first input token - # of the subsequent sample. + # In this case we reuse the last target token as the first input token of the subsequent sample. # Therfore, given a fixed number of samples we can compute the total number of tokens as # num_tokens = block_size + (block_size-1) * (num_samples-1) # as the first sample always needs block_size many tokens and the following samples diff --git a/tests/instruction_tuning/test_e2e_instruction_tuning.py b/tests/instruction_tuning/test_e2e_instruction_tuning.py index 2ab032f6..af01707f 100644 --- a/tests/instruction_tuning/test_e2e_instruction_tuning.py +++ b/tests/instruction_tuning/test_e2e_instruction_tuning.py @@ -8,6 +8,9 @@ def test_e2e_instruction_tuning(monkeypatch, tmp_path): + """ + Run the instruction-tuning training and verify that a model checkpoint was created. + """ monkeypatch.setenv("RANK", "0") monkeypatch.setenv("LOCAL_RANK", "0") monkeypatch.setenv("WORLD_SIZE", "1") diff --git a/tests/instruction_tuning/test_loss_masking.py b/tests/instruction_tuning/test_loss_masking.py index f32638d3..346b1268 100644 --- a/tests/instruction_tuning/test_loss_masking.py +++ b/tests/instruction_tuning/test_loss_masking.py @@ -4,7 +4,7 @@ import torch from modalities.batch import DatasetBatch -from modalities.dataloader.collate_fns.collator_wrapper import ( +from modalities.dataloader.collate_fns.collator_fn_wrapper_for_loss_masking import ( LossMaskingCollateFnWrapper, LossMaskingCollateFnWrapperConfig, LossMaskingTokenConfig, From d98a26ab7625a574e1e7184bf07f24cbce1fc6d4 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 19 Aug 2024 11:59:57 +0200 Subject: [PATCH 56/70] fix: apply renaming --- src/modalities/registry/components.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/modalities/registry/components.py b/src/modalities/registry/components.py index 34b087b5..0b36ee7c 100644 --- a/src/modalities/registry/components.py +++ b/src/modalities/registry/components.py @@ -50,7 +50,7 @@ WandBEvaluationResultSubscriberConfig, WeightInitializedModelConfig, ) -from modalities.dataloader.collate_fns.collator_wrapper import ( +from modalities.dataloader.collate_fns.collator_fn_wrapper_for_loss_masking import ( LossMaskingCollateFnWrapper, LossMaskingCollateFnWrapperConfig, ) From d95bd46cdf5d6cd87260ed9141a7df393bb306bf Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 19 Aug 2024 15:35:32 +0200 Subject: [PATCH 57/70] chore: Update SFT_README --- SFT_README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/SFT_README.md b/SFT_README.md index 4d8f3e2f..afd807d4 100644 --- a/SFT_README.md +++ b/SFT_README.md @@ -188,9 +188,11 @@ tokenizer: variant_key: pretrained_hf_tokenizer config: pretrained_model_name_or_path: data/tokenizer/hf_gpt2 - padding: false - truncation: false + padding: max_length + truncation: true + max_length: ${settings.sequence_length} special_tokens: + pad_token: ${settings.eod_token} additional_special_tokens: - "^" - "$" From c6b0e4cef90190229e052c0659e1130460ee7b3e Mon Sep 17 00:00:00 2001 From: rrutmann Date: Tue, 20 Aug 2024 14:31:34 +0200 Subject: [PATCH 58/70] chore(sft): Improve check on correctness of loss masked sequences --- .../collator_fn_wrapper_for_loss_masking.py | 19 ++++++------------- 1 file changed, 6 insertions(+), 13 deletions(-) diff --git a/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py b/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py index 4174e482..01ace6e4 100644 --- a/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py +++ b/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py @@ -143,24 +143,17 @@ def _mask_target( mask[:, 1:] += torch.where(target != b_mask_token_id, 0, 1)[:, :-1] mask += torch.where(target != e_mask_token_id, 0, -1) - # in case -1 (end mask token indicator) is before 1 (begin mask token indicator) we need to - # include the first tokens to the loss - end_before_begin = torch.argmax(mask, dim=-1, keepdim=True) > torch.argmin(mask, dim=-1, keepdim=True) - if end_before_begin.any(): - raise ValueError( - "end mask token indicator is before begin mask token indicator in the target. " - + "This is not supported by the LossMaskingCollateFnWrapper." - + "Make sure to use padding and truncation with the tokenizer for PackedMemMapDatasetContinuous" - ) - # mark all tokens beween 1 (begin mask token indicator) and -1 (end mask token indicator) with 1 # this includes the -1, but due to the shift above, we exclude both! include_to_loss_mask = mask.cumsum(-1) - - if (mask > 1).any() or (mask < -1).any(): + + # check that the sequence has alternating start and end mask token indicators starting with a start mask token + # we explicitly allow ending on a start mask token + if not ((0 <= include_to_loss_mask).all() and (include_to_loss_mask <= 1).all()): raise ValueError( - "Masking tokens are not alternating in the target. " + "end mask token indicator is before begin mask token indicator in the target. " + "This is not supported by the LossMaskingCollateFnWrapper." + + "Make sure to use padding and truncation with the tokenizer for PackedMemMapDatasetContinuous" ) # apply mask: if mask is 1, keep the target, otherwise replace with loss_ignore_index From b9fbcecfbf03aa71353b43497832cdc8daf5b83e Mon Sep 17 00:00:00 2001 From: rrutmann Date: Tue, 20 Aug 2024 14:31:05 +0200 Subject: [PATCH 59/70] chore(sft): Change special tokens used for instruction tuning --- .../data_preparation/apply_chat_template_config.yaml | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index e4a61c51..8fe78600 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -33,10 +33,6 @@ chat_template_data: system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." # Currently only works with HF tokenizers, as the special tokens are added to the tokenizer special_tokens: - # tokens to indicate the beginning and end of the assistant's response, only needed for proper loss masking - b_include_to_loss_token: ^ - e_include_to_loss_token: $ - # the user must need to know that any special tokens must be re-introduced in the pbin file creation config and the training config - # if not the training will run, but the e_assistant_token might not be learned correctly, as it is per default not a special token in the tokenizer - # the e_assistant_token is used to mask the end of the assistant's response. It will be trained and can be used as early stopping criterion during generation in inference mode - e_assistant_token: ° + b_include_to_loss_token: <|im_start|> + e_include_to_loss_token: <|im_end|> + e_assistant_token: <|end_assistant|> From 65380728e014240dffe61d9b9c1cd10ae06dd954 Mon Sep 17 00:00:00 2001 From: rrutmann Date: Tue, 20 Aug 2024 14:30:26 +0200 Subject: [PATCH 60/70] chore: Add artifacts to .gitignore --- .gitignore | 1 + 1 file changed, 1 insertion(+) diff --git a/.gitignore b/.gitignore index d2e2f686..bb158095 100644 --- a/.gitignore +++ b/.gitignore @@ -9,6 +9,7 @@ logs/ core.* checkpoint wandb +artifacts # Byte-compiled / optimized / DLL files __pycache__/ From 27488872ceda969fc1f1a09490d2ca2cbde85138 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 20 Aug 2024 16:27:18 +0200 Subject: [PATCH 61/70] chore(sft): Add splitting functionality and introduce a new entry point to convert, split, and create idx and pdbin files per data partition --- .../apply_chat_template_config.yaml | 7 + .../lorem_ipsum_sft_converted.40e0699.idx | Bin 415 -> 0 bytes .../lorem_ipsum_sft_converted.40e0699.jsonl | 50 --- .../lorem_ipsum_sft_converted.40e0699.pbin | Bin 205395 -> 0 bytes .../packed_chat_dataset_config.40e0699.yaml | 26 -- .../sft_chat_template_config.40e0699.yaml | 42 -- src/modalities/__main__.py | 87 ++--- src/modalities/config/instantiation_models.py | 21 + .../dataloader/apply_chat_template.py | 52 ++- src/modalities/dataloader/create_index.py | 19 + .../dataloader/create_packed_data.py | 361 +++--------------- src/modalities/dataloader/dataset.py | 2 +- .../dataloader/packed_data_generator.py | 322 ++++++++++++++++ tests/dataloader/test_packed_dataset.py | 6 +- 14 files changed, 506 insertions(+), 489 deletions(-) delete mode 100644 data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.idx delete mode 100644 data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.jsonl delete mode 100644 data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.pbin delete mode 100644 data/lorem_ipsum_sft_40e0699/packed_chat_dataset_config.40e0699.yaml delete mode 100644 data/lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml create mode 100644 src/modalities/dataloader/packed_data_generator.py diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 8fe78600..00e5b1d7 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -2,6 +2,13 @@ settings: src_path: data/lorem_ipsum_sft.jsonl dst_path: data/lorem_ipsum_sft_converted.jsonl conversations_key: conversations + pbin_creation_config_file_path: config_files/data_preparation/packed_chat_dataset_config.yaml + split_config: + splitting: + train: 80 + val: 10 + test: 10 + seed: 1234 instruction_data_transformation: role_mapping: diff --git 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z-X`bK*Wx@DJmowVwKzv2HcIPp;+j$KA(|HVcIFFHkIghb_cRxN-E=V{>c2V|d zaC!FV?h)Ce%JJEwAx+t%`&zO`!=B0>jcCgrRjw)sa1#{jcoNoPTGJT7-7>`W`R3dNhC7{|9c - processing_batch_size: 5 - raw_samples_queue_size: 300 - processed_samples_queue_size: 300 - sequence_length: 2048 - -tokenizer: - component_key: tokenizer - variant_key: pretrained_hf_tokenizer - config: - pretrained_model_name_or_path: data/tokenizer/hf_gpt2 - padding: max_length - truncation: true - max_length: ${settings.sequence_length} - special_tokens: - pad_token: ${settings.eod_token} - additional_special_tokens: - - "^" - - "$" - - "°" diff --git a/data/lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml b/data/lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml deleted file mode 100644 index e4a61c51..00000000 --- a/data/lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml +++ /dev/null @@ -1,42 +0,0 @@ -settings: - src_path: data/lorem_ipsum_sft.jsonl - dst_path: data/lorem_ipsum_sft_converted.jsonl - conversations_key: conversations - -instruction_data_transformation: - role_mapping: - human_1: User1 - human_2: User2 - gpt: Assistant - -# The b_include_to_loss_token, e_include_to_loss_token are required to be part of each chat template for proper loss masking! -jinja2_chat_template: | - {{ chat_template_data.system_instruction + '\n' }} - {% for turn in conversation %} - {{ turn.from + ':' }} - {% if turn.from == chat_template_data.assistant_role %} - {{ chat_template_data.special_tokens.b_include_to_loss_token}} - {% else %} - {{ " " }} - {% endif %} - {{ turn.value + '\n'}} - {% if turn.from == chat_template_data.assistant_role %} - {{ chat_template_data.special_tokens.e_assistant_token}} - {{ chat_template_data.special_tokens.e_include_to_loss_token}} - {% endif %} - {% endfor %} - -# The key-value pairs of chat_template_data are passed to the Jinja2 template and -# are not type checked for full compliance with the chat tempalate! -chat_template_data: - assistant_role: Assistant - system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." - # Currently only works with HF tokenizers, as the special tokens are added to the tokenizer - special_tokens: - # tokens to indicate the beginning and end of the assistant's response, only needed for proper loss masking - b_include_to_loss_token: ^ - e_include_to_loss_token: $ - # the user must need to know that any special tokens must be re-introduced in the pbin file creation config and the training config - # if not the training will run, but the e_assistant_token might not be learned correctly, as it is per default not a special token in the tokenizer - # the e_assistant_token is used to mask the end of the assistant's response. It will be trained and can be used as early stopping criterion during generation in inference mode - e_assistant_token: ° diff --git a/src/modalities/__main__.py b/src/modalities/__main__.py index bb78dfdc..b4ab3d62 100644 --- a/src/modalities/__main__.py +++ b/src/modalities/__main__.py @@ -9,6 +9,7 @@ import click import click_pathlib +import yaml from pydantic import BaseModel, FilePath from modalities.activation_checkpointing import apply_activation_checkpointing_inplace @@ -17,13 +18,13 @@ from modalities.config.component_factory import ComponentFactory from modalities.config.config import ProcessGroupBackendType, load_app_config_dict from modalities.config.instantiation_models import ( - PackedDatasetComponentsInstantiationModel, + InstructionTuningInstantiationModel, TrainingComponentsInstantiationModel, ) from modalities.dataloader.apply_chat_template import apply_chat_template -from modalities.dataloader.create_index import IndexGenerator -from modalities.dataloader.create_packed_data import EmbeddedStreamData, PackedDataGenerator, join_embedded_stream_data -from modalities.dataloader.large_file_lines_reader import LargeFileLinesReader +from modalities.dataloader.create_index import create_raw_index +from modalities.dataloader.create_packed_data import pack_encoded_data +from modalities.dataloader.packed_data_generator import EmbeddedStreamData, join_embedded_stream_data from modalities.evaluator import Evaluator from modalities.gym import Gym from modalities.inference.inference import generate_text @@ -97,6 +98,38 @@ def data(): pass +@data.command(name="prepare_instruction_tuning_data") +@config_file_path_option +def entry_point_data_prepare_instruction_tuning_data(config_file_path: Path): + """ + Utility for preparing instruction-tuning data by converting, train-val-splitting, index- and pbin-file-creation. + """ + config_dict = load_app_config_dict(config_file_path=config_file_path) + assert "split_config" in config_dict["settings"], "split_config must be defined in the config file." + assert ( + sum(config_dict["settings"]["split_config"]["splitting"].values()) == 100 + ), "The split_config values must sum up to 100." + partition_to_output_file_path_mapping = apply_chat_template(config_file_path) + + config = InstructionTuningInstantiationModel(**config_dict) + hash_suffix = list(partition_to_output_file_path_mapping.values())[0].suffixes[0] + for partition, jsonl_data_out_file_path in partition_to_output_file_path_mapping.items(): + idx_file_path = jsonl_data_out_file_path.with_suffix(".idx") + create_raw_index(jsonl_data_out_file_path, idx_file_path) + + pbin_config_file_path = jsonl_data_out_file_path.with_name(f"pbin_config_{partition}").with_suffix( + f"{hash_suffix}.yaml" + ) + shutil.copyfile(config.settings.pbin_creation_config_file_path, pbin_config_file_path) + pbin_config = load_app_config_dict(config_file_path=pbin_config_file_path) + pbin_config["settings"]["src_path"] = str(jsonl_data_out_file_path) + pbin_config["settings"]["index_path"] = str(idx_file_path) + pbin_config["settings"]["dst_path"] = str(idx_file_path.with_suffix(f"{hash_suffix}.pbin")) + with open(pbin_config_file_path, "w") as f: + yaml.dump(pbin_config, f) + pack_encoded_data(pbin_config_file_path) + + @data.command(name="apply_chat_template") @config_file_path_option def entry_point_data_apply_chat_template(config_file_path: Path): @@ -114,21 +147,14 @@ def entry_point_data_apply_chat_template(config_file_path: Path): default=None, help="output path for index. will use parent directory of src_path if none.", ) -def entry_point_data_create_raw_index(src_path, index_path): +def entry_point_data_create_raw_index(src_path: Path, index_path: Path): """ Utility for indexing a large jsonl-file's content. Background is the ability to further process the respective file without loading it, while splitting its content line-based. This step is necessary in advance of further processing like tokenization. It is only necessary once for a jsonl-file and allows therefore different tokenizations without re-indexing. """ - index_path = LargeFileLinesReader.default_index_path(src_path, index_path) - if index_path.exists(): - raise ValueError("index already exists. delete it or specify different output folder.") - - print(f"reading raw data from {src_path}") - print(f"writing index to {index_path}") - generator = IndexGenerator(src_path) - generator.create_index(index_path) + create_raw_index(src_path, index_path) @data.command(name="pack_encoded_data") @@ -141,40 +167,7 @@ def entry_point_pack_encoded_data(config_file_path: FilePath): Returns .pbin-file, which can be inserted into a training process directly and does not require its original jsonl-file or the respective index file anymore. """ - # TODO: if we want to use alternative entrypoints together with the ResolverRegistry, - # we can currently not rely on the existing class resolver. - # This is based on its connection to the overall `AppConfig`. - # One would requires an object of it to instantiate the ResolverRegistry. - # This could get resolved by implementing on own ResolverRegistry for each entrypoint or adapting the existing - # ResolverRegistry to work dynamically with any type-hinted config object from config.py. - config = load_app_config_dict(config_file_path) - - # copy the config file to the src_path parent and append the original hash - src_path = Path(config["settings"]["src_path"]) - src_path_has_hash_suffix = len(src_path.suffixes) > 1 and len(src_path.suffixes[0]) == 7 - if src_path_has_hash_suffix: - hash_suffix = src_path.suffixes[0] - config_file_name_with_hash = config_file_path.stem + hash_suffix + "".join(config_file_path.suffixes) - shutil.copyfile(config_file_path, src_path.parent / config_file_name_with_hash) - - registry = Registry(COMPONENTS) - component_factory = ComponentFactory(registry=registry) - components: PackedDatasetComponentsInstantiationModel = component_factory.build_components( - config_dict=config, components_model_type=PackedDatasetComponentsInstantiationModel - ) - - generator = PackedDataGenerator( - components.settings.src_path, - index_path=components.settings.index_path, - tokenizer=components.tokenizer, - eod_token=components.settings.eod_token, - jq_pattern=components.settings.jq_pattern, - number_of_processes=components.settings.num_cpus, - processing_batch_size=components.settings.processing_batch_size, - raw_samples_queue_size=components.settings.raw_samples_queue_size, - processed_samples_queue_size=components.settings.processed_samples_queue_size, - ) - generator.run(components.settings.dst_path) + pack_encoded_data(config_file_path) @data.command(name="merge_packed_data") diff --git a/src/modalities/config/instantiation_models.py b/src/modalities/config/instantiation_models.py index b4c64faf..18ddbf99 100644 --- a/src/modalities/config/instantiation_models.py +++ b/src/modalities/config/instantiation_models.py @@ -94,11 +94,32 @@ def parse_device(cls, device) -> PydanticPytorchDeviceType: settings: TextGenerationSettings +class Splitting(BaseModel): + train: int + val: int + test: int + + +class SplitConfig(BaseModel): + splitting: Splitting + seed: int + + @field_validator("splitting", mode="before") + def validate_splitting(cls, splitting) -> Optional[Splitting]: + if splitting is None: + return None + if splitting["train"] + splitting["val"] + splitting["test"] != 100: + raise ValueError("The sum of the split configuration must be 100 (excluding the seed).") + return splitting + + class InstructionTuningInstantiationModel(BaseModel): class Settings(BaseModel): src_path: FilePath dst_path: Path conversations_key: str + split_config: SplitConfig | None = None + pbin_creation_config_file_path: FilePath | None = None class InstructionDataTransformation(BaseModel): role_mapping: Dict[str, str] diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index 2386ea67..efe111a3 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -1,5 +1,6 @@ import hashlib import json +import random import shutil from pathlib import Path from typing import Any, Dict, Generator, List, Tuple @@ -10,10 +11,10 @@ from jinja2.sandbox import ImmutableSandboxedEnvironment from modalities.config.config import load_app_config_dict -from modalities.config.instantiation_models import InstructionTuningInstantiationModel +from modalities.config.instantiation_models import InstructionTuningInstantiationModel, SplitConfig -def apply_chat_template(config_file_path: Path): +def apply_chat_template(config_file_path: Path) -> Dict[str, Path]: """ Applies a chat template to the given configuration file. @@ -21,10 +22,10 @@ def apply_chat_template(config_file_path: Path): config_file_path (Path): The path to the configuration file. Returns: - None + Dict[str, Path]: A dictionary mapping the partition to the output file path. Raises: - None + Exception: If an error occurs during the application of the chat template. """ config_dict = load_app_config_dict(config_file_path=config_file_path) config = InstructionTuningInstantiationModel(**config_dict) @@ -39,16 +40,51 @@ def apply_chat_template(config_file_path: Path): dst_path.parent.mkdir(parents=True, exist_ok=True) _store_config_file_with_hash_suffix(config_file_path, dst_path, hash_str) - dst_path_with_uuid = dst_path.with_suffix(f".{hash_str}" + "".join(dst_path.suffixes)) - with dst_path_with_uuid.open("w", encoding="utf-8") as output_file: - for entry in instruction_data: + + default_suffix = f".{hash_str}" + ".".join(dst_path.suffixes) + + partition_to_out_file_mapping = {} + + partition_to_output_file_path_mapping = {} + for partition, percentage in config.settings.split_config.splitting.model_dump().items(): + if percentage == 0: + continue + out_file_path = dst_path.with_name(f"{dst_path.stem}_{partition}").with_suffix(default_suffix) + partition_to_output_file_path_mapping[partition] = out_file_path + partition_to_out_file_mapping[partition] = out_file_path.open("w") + + try: + partitions_sampled = [] + for entry, partition in _split_streaming_data(data=instruction_data, split_config=config.settings.split_config): conversation = entry[config.settings.conversations_key] conversation = _map_conversation_roles(conversation, config.instruction_data_transformation.role_mapping) chat = chat_template.render(conversation=conversation, chat_template_data=config.chat_template_data) entry["chat"] = chat + output_file = partition_to_out_file_mapping[partition] + partitions_sampled.append(partition) json.dump(entry, output_file, ensure_ascii=False) output_file.write("\n") - print(f"Chat template applied and saved to {dst_path_with_uuid}") + print(f"Chat template applied and saved to {list(partition_to_output_file_path_mapping.values())}") + return { + partition: path + for partition, path in partition_to_output_file_path_mapping.items() + if partitions_sampled.count(partition) > 0 + } + except Exception as e: + raise e + finally: + for file in partition_to_out_file_mapping.values(): + file.close() + + +def _split_streaming_data( + data: Generator[Dict[str, Any], None, None], split_config: SplitConfig +) -> Generator[Tuple[Dict[str, Any], str], None, None]: + random.seed(split_config.seed) + partitions, weights = list(zip(*split_config.splitting.model_dump().items())) + for entry in data: + partition = random.choices(partitions, weights=weights)[0] + yield (entry, partition) def _get_hash_sum_sha256_of_file(file_path: Path) -> str: diff --git a/src/modalities/dataloader/create_index.py b/src/modalities/dataloader/create_index.py index 656b6941..4edff74f 100644 --- a/src/modalities/dataloader/create_index.py +++ b/src/modalities/dataloader/create_index.py @@ -8,6 +8,25 @@ from tqdm import tqdm +from modalities.dataloader.large_file_lines_reader import LargeFileLinesReader + + +def create_raw_index(src_path: Path, index_path: Path): + """ + Utility for indexing a large jsonl-file's content. + Background is the ability to further process the respective file without loading it, + while splitting its content line-based. This step is necessary in advance of further processing like tokenization. + It is only necessary once for a jsonl-file and allows therefore different tokenizations without re-indexing. + """ + index_path = LargeFileLinesReader.default_index_path(src_path, index_path) + if index_path.exists(): + raise ValueError("index already exists. delete it or specify different output folder.") + + print(f"reading raw data from {src_path}") + print(f"writing index to {index_path}") + generator = IndexGenerator(src_path) + generator.create_index(index_path) + class IndexGenerator: def __init__(self, src_file: Path, chunksize: int = 4096, drop_faulty_entries: bool = False): diff --git a/src/modalities/dataloader/create_packed_data.py b/src/modalities/dataloader/create_packed_data.py index d71c5a3b..8634e161 100644 --- a/src/modalities/dataloader/create_packed_data.py +++ b/src/modalities/dataloader/create_packed_data.py @@ -1,325 +1,58 @@ import logging -import math -import multiprocessing -import os -import pickle -import warnings -from io import BufferedWriter +import shutil from pathlib import Path -from typing import Callable, Iterator, List, Optional, Tuple -import jq -import numpy as np from pydantic import FilePath -from tqdm import tqdm -from modalities.dataloader.large_file_lines_reader import LargeFileLinesReader -from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper +from modalities.config.component_factory import ComponentFactory +from modalities.config.config import load_app_config_dict +from modalities.config.instantiation_models import PackedDatasetComponentsInstantiationModel +from modalities.dataloader.packed_data_generator import PackedDataGenerator +from modalities.registry.components import COMPONENTS +from modalities.registry.registry import Registry logger = logging.getLogger(__name__) -class EmptySampleError(RuntimeError): - pass - - -class PackedDataGenerator: - def __init__( - self, - src_path: FilePath, - tokenizer: TokenizerWrapper, - eod_token: str, - number_of_processes: int, - jq_pattern: str, - processing_batch_size: int, - raw_samples_queue_size: int, - processed_samples_queue_size: int, - index_path: Optional[FilePath] = None, - ): - """ - Reads in a jsonl file and the corresponding index file and packs dataset file for LLM training. - :param src_path: Path to a jsonl file, which holds text data - :param index_path: Path to an index file, which indicates the start character position - and length of samples given in `src_path`. - If not defined, an index file next to `src_path` is picked, - by replacing its suffix with ".idx". - :processing_batch_size: The size of the batches that the workers process - (has nothing to do with batch size during training!). - :param tokenizer: PretrainedTokenizer object, which is used to pre-tokenize the provided data in `src_path`. - Tokenization is necessary to work on final lengths of token sequences. - :param jq_pattern: jq-pattern applied on every jsonl-entry. Results are afterwards tokenized and packed - """ - self.src_path = src_path - self.tokenizer = tokenizer - self.eod_token = eod_token - self._token_size_in_bytes = self._get_required_num_of_bytes_to_repr(self.tokenizer.vocab_size) - encoded_eod_token = self.tokenizer.get_token_id(self.eod_token) - self._encoded_eos_token_as_bytes = self._encoded_token_to_bytes(encoded_eod_token) - self.jq_filter = jq.compile(jq_pattern) - self._number_of_processes = number_of_processes - self._reader = LargeFileLinesReader(src_path, index_path=index_path) - self._total_num_of_tokens = 0 - self._raw_samples_queue = multiprocessing.Queue(maxsize=raw_samples_queue_size) - self.processed_samples_queue = multiprocessing.Queue(maxsize=processed_samples_queue_size) - self._exception_buffer = [] - self.processing_batch_size = processing_batch_size - - @staticmethod - def _get_required_num_of_bytes_to_repr(int_to_get_repr: int) -> int: - return math.ceil(math.log(math.log2(int_to_get_repr), 8)) - - def _encoded_token_to_bytes(self, encoded_token: int) -> bytes: - return encoded_token.to_bytes(self._token_size_in_bytes, byteorder="little", signed=False) - - def _default_destination_path(self, destination_path: Optional[Path] = None) -> Path: - if destination_path is None: - default_destination_path = Path(self.src_path.parent, f"{self.src_path.stem}.pbin") - print( - f"No specific Destination Path provided. " - f"Pointing to destination next to input data at: {default_destination_path}" - ) - return default_destination_path - return Path(destination_path) - - def run(self, dst_path: Optional[Path] = None): - assert self._total_num_of_tokens == 0, f"This {self.__name__} was already used and is exhausted. Use another!" - dst_path = self._default_destination_path(destination_path=dst_path) - - dst_path.parent.mkdir(parents=True, exist_ok=True) - if dst_path.exists(): - raise ValueError(f"file already exists at destination path '{dst_path}'.") - - self._exception_buffer = [] - try: - # not setting this can cause deadlocks when using hf's "FastTokenizers". See also: - # https://stackoverflow.com/questions/62691279/how-to-disable-tokenizers-parallelism-true-false-warning/67254879#67254879 - os.environ["TOKENIZERS_PARALLELISM"] = "false" - self._launch_parallelized_workers(dst_path) - finally: - os.unsetenv("TOKENIZERS_PARALLELISM") - - if self._exception_buffer: - raise self._exception_buffer[0] - - def _launch_parallelized_workers(self, dst_path: Path): - reader = multiprocessing.Process(target=self._reader_thread()) - reader.start() - - writer = multiprocessing.Process(target=self._writer_thread(dst_path)) - writer.start() - processor_threads = [ - multiprocessing.Process(target=self._process_thread, args=(i,)) for i in range(self._number_of_processes) - ] - for p in processor_threads: - p.start() - for p in processor_threads: - p.join() - self._stop_processing() - writer.join() - - def _stop_processing(self): - self.processed_samples_queue.put(None) - - def _generator_for_tokens_to_get_written(self): - while True: - if self._check_for_parallel_errors(): - return - batch = self.processed_samples_queue.get() - if batch is None: - break - yield batch - - def _check_for_parallel_errors(self) -> bool: - return bool(self._exception_buffer) - - def _writer_thread(self, dst_path: Path) -> Callable: - def writer(): - # writes a batch received from the processed_samples_queue to the destination file - def _write_batch( - batch: List[Tuple[int, bytes]], prev_line_id: int, curr_offset: int, index_list: List, f: BufferedWriter - ) -> Tuple[int, int]: - # write the tokens for each document - for line_id, tokens_as_bytes in batch: - if prev_line_id + 1 != line_id: - raise ValueError( - f"Line IDs are not consecutive. Expected {prev_line_id + 1}, but got {line_id}" - ) - f.write(tokens_as_bytes) - segment_length = len(tokens_as_bytes) - index_list.append((curr_offset, segment_length)) - curr_offset += segment_length - prev_line_id = line_id - return prev_line_id, curr_offset - - index_list = [] - with dst_path.open("wb") as f: - # allocate first self.header_size_in_bytes bytes for header (encodes length of data section) - # not possible to prepend header after determining size of data section - f.write((0).to_bytes(EmbeddedStreamData.DATA_SECTION_LENGTH_IN_BYTES, byteorder="little")) - f.write( - self._token_size_in_bytes.to_bytes( - EmbeddedStreamData.TOKEN_SIZE_DESCRIPTOR_LENGTH_IN_BYTES, byteorder="little" - ) - ) - # The offset only applies to the data section, not the header - # When we load the file, we add the header size to the offset - curr_offset = 0 - - # write data section (tokens) - pbar = tqdm(total=len(self._reader), desc="Processed batches") - prev_line_id = -1 - batch_dict = {} - for batch in self._generator_for_tokens_to_get_written(): - line_id = batch[0][0] - batch_dict[line_id] = batch - - while prev_line_id + 1 in batch_dict: - batch = batch_dict.pop(prev_line_id + 1) - prev_line_id, curr_offset = _write_batch(batch, prev_line_id, curr_offset, index_list, f) - pbar.update(len(batch)) - # write index - f.write(pickle.dumps(index_list)) - - self._update_data_length_in_pre_allocated_header(dst_path, index_list) - - return writer - - def _reader_thread(self) -> Callable: - def reader(): - batch = [] - for line_id, line in tqdm(enumerate(self._reader), desc="Reading jsonl", disable=True): - # line = self._reader[line_id] - batch.append((line_id, line)) - if len(batch) % self.processing_batch_size == 0: - self._raw_samples_queue.put(batch) - batch = [] - - # add the remaining samples - if len(batch) > 0: - self._raw_samples_queue.put(batch) - - for _ in range(self._number_of_processes): - self._raw_samples_queue.put(None) - - return reader - - def _process_thread(self, process_id: int): - if self._check_for_parallel_errors(): - return - - while True: - if self._check_for_parallel_errors(): - return - batch = self._raw_samples_queue.get() - if batch is None: - break - - try: - batch_processed = [] - for line_id, line in batch: - processed_line = self._process_line(line, process_id) - batch_processed.append((line_id, processed_line)) - self.processed_samples_queue.put(batch_processed) - except EmptySampleError: - warnings.warn( - f"Encountered empty sample in line {line_id} of file {self.src_path} within process {process_id}" - ) - except Exception as exception: - warnings.warn( - f"Could not process line of number {line_id} within process {process_id}. " - f"Raised the following error: {exception=}" - ) - - def _update_data_length_in_pre_allocated_header(self, dst_path: Path, index_list: List[Tuple[int, int]]): - length_of_byte_encoded_data_section = index_list[-1][0] + index_list[-1][1] - data_section_length_in_bytes = length_of_byte_encoded_data_section.to_bytes( - EmbeddedStreamData.DATA_SECTION_LENGTH_IN_BYTES, byteorder="little" - ) - with dst_path.open("rb+") as fout: - fout.seek(0) - fout.write(data_section_length_in_bytes) - - def _process_line(self, line: str, process_id: int) -> bytes: - jq_retrieved_text = self.jq_filter.input_text(line).first() - if jq_retrieved_text is None: - raise ValueError(f"jq was not able to find anything using the expression: {self.jq_filter}") - tokens = self.tokenizer.tokenize(jq_retrieved_text) - if len(tokens) == 0: - raise EmptySampleError("Received empty sample...") - return b"".join(map(self._encoded_token_to_bytes, tokens)) + self._encoded_eos_token_as_bytes - - -class EmbeddedStreamData: - # amount of bytes to represent number of all tokens in dataset. - # If the amount exceeds 2^(8*`header_size_in_bytes`), this requires adaptation. - # Decided to keep this constant, since a size of 8 bytes requires more data than the internet currently provides - DATA_SECTION_LENGTH_IN_BYTES = 8 - TOKEN_SIZE_DESCRIPTOR_LENGTH_IN_BYTES = 4 - HEADER_SIZE_IN_BYTES = DATA_SECTION_LENGTH_IN_BYTES + TOKEN_SIZE_DESCRIPTOR_LENGTH_IN_BYTES - - def __init__(self, data_path: Path): - self._data_path = data_path - if not self._data_path.is_file(): - raise FileNotFoundError( - f"Packed Data was not found at {self._data_path}." - f"Create on in advance by using `modalities data pack_encoded_data`." - ) - - with self._data_path.open("rb") as f: - # get number of bytes in data section - data_section_length_in_bytes = f.read(self.DATA_SECTION_LENGTH_IN_BYTES) - self.data_len = int.from_bytes(data_section_length_in_bytes, byteorder="little") - - # get number of bytes for encoding a single token - f.seek(self.DATA_SECTION_LENGTH_IN_BYTES) - token_size_as_bytes = f.read(self.TOKEN_SIZE_DESCRIPTOR_LENGTH_IN_BYTES) - self.token_size_in_bytes = int.from_bytes(token_size_as_bytes, byteorder="little", signed=False) - - # get index - f.seek(self.HEADER_SIZE_IN_BYTES + self.data_len) - pkl_encoded_index = f.read() - # contains the start offset and length of each segment - # as byte positions in the data section - self.index_base: List[Tuple[int, int]] = pickle.loads(pkl_encoded_index) - - # initialize memmapped data section - self.data = np.memmap(self._data_path, mode="r", offset=self.HEADER_SIZE_IN_BYTES, shape=(self.data_len,)) - - -def join_embedded_stream_data(stream_data: List[EmbeddedStreamData], target_file: Path, chunk_size: int = 2048): - if target_file.exists(): - raise FileExistsError(f'Target File at "{target_file}" exists!') - data_len = sum(d.data_len for d in stream_data) - assert len({d.token_size_in_bytes for d in stream_data}) == 1, ( - "Found different token representation sizes. This could indicate the usage of different tokenizers. " - "Not supported!" +def pack_encoded_data(config_file_path: FilePath): + """ + Utility to encode an indexed, large jsonl-file. + + (see also `create_index` for more information) + Returns .pbin-file, which can be inserted into a training process directly + and does not require its original jsonl-file or the respective index file anymore. + """ + # TODO: if we want to use alternative entrypoints together with the ResolverRegistry, + # we can currently not rely on the existing class resolver. + # This is based on its connection to the overall `AppConfig`. + # One would requires an object of it to instantiate the ResolverRegistry. + # This could get resolved by implementing on own ResolverRegistry for each entrypoint or adapting the existing + # ResolverRegistry to work dynamically with any type-hinted config object from config.py. + config = load_app_config_dict(config_file_path) + + # copy the config file to the src_path parent and append the original hash + src_path = Path(config["settings"]["src_path"]) + src_path_has_hash_suffix = len(src_path.suffixes) > 1 and len(src_path.suffixes[0]) == 7 + if src_path_has_hash_suffix: + hash_suffix = src_path.suffixes[0] + config_file_name_with_hash = config_file_path.stem + hash_suffix + "".join(config_file_path.suffixes) + shutil.copyfile(config_file_path, src_path.parent / config_file_name_with_hash) + + registry = Registry(COMPONENTS) + component_factory = ComponentFactory(registry=registry) + components: PackedDatasetComponentsInstantiationModel = component_factory.build_components( + config_dict=config, components_model_type=PackedDatasetComponentsInstantiationModel ) - token_size_in_bytes = stream_data[0].token_size_in_bytes - num_data_chunks = sum(math.ceil(d.data_len / chunk_size) for d in stream_data) - data_stream_generator = (d.data[i : i + chunk_size] for d in stream_data for i in range(0, d.data_len, chunk_size)) - - num_entries = sum(len(d.index_base) for d in stream_data) - - def index_stream_generator() -> Iterator[Tuple[int, int]]: - curr_offset = 0 - for embedded_stream_data in stream_data: - for entry_offset, segment_length in embedded_stream_data.index_base: - yield entry_offset + curr_offset, segment_length - curr_offset += embedded_stream_data.data_len - curr_offset -= embedded_stream_data.HEADER_SIZE_IN_BYTES - - with target_file.open("wb") as fout: - fout.write(data_len.to_bytes(EmbeddedStreamData.DATA_SECTION_LENGTH_IN_BYTES, byteorder="little")) - fout.write( - token_size_in_bytes.to_bytes(EmbeddedStreamData.TOKEN_SIZE_DESCRIPTOR_LENGTH_IN_BYTES, byteorder="little") - ) - for data_chunk in tqdm(data_stream_generator, total=num_data_chunks, desc="Writing Data Chunks..."): - fout.write(data_chunk) - - joint_index = [entry for entry in tqdm(index_stream_generator(), total=num_entries, desc="Concatenating Index")] - pickled_index = pickle.dumps(joint_index) - pickled_index_as_chunks = (pickled_index[i : i + chunk_size] for i in range(0, len(pickled_index), chunk_size)) - num_index_chunks = math.ceil(len(pickled_index) / chunk_size) - for index_chunk in tqdm(pickled_index_as_chunks, total=num_index_chunks, desc="Writing Index Chunks..."): - fout.write(index_chunk) + generator = PackedDataGenerator( + components.settings.src_path, + index_path=components.settings.index_path, + tokenizer=components.tokenizer, + eod_token=components.settings.eod_token, + jq_pattern=components.settings.jq_pattern, + number_of_processes=components.settings.num_cpus, + processing_batch_size=components.settings.processing_batch_size, + raw_samples_queue_size=components.settings.raw_samples_queue_size, + processed_samples_queue_size=components.settings.processed_samples_queue_size, + ) + generator.run(components.settings.dst_path) diff --git a/src/modalities/dataloader/dataset.py b/src/modalities/dataloader/dataset.py index f32d17bb..47afd342 100644 --- a/src/modalities/dataloader/dataset.py +++ b/src/modalities/dataloader/dataset.py @@ -14,7 +14,7 @@ from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper from ..dataloader.large_file_lines_reader import LargeFileLinesReader -from .create_packed_data import EmbeddedStreamData +from .packed_data_generator import EmbeddedStreamData class Dataset(TorchdataSet): diff --git a/src/modalities/dataloader/packed_data_generator.py b/src/modalities/dataloader/packed_data_generator.py new file mode 100644 index 00000000..54824ebc --- /dev/null +++ b/src/modalities/dataloader/packed_data_generator.py @@ -0,0 +1,322 @@ +import math +import multiprocessing +import os +import pickle +import warnings +from io import BufferedWriter +from pathlib import Path +from typing import Callable, Iterator, List, Optional, Tuple + +import jq +import numpy as np +from pydantic import FilePath +from tqdm import tqdm + +from modalities.dataloader.large_file_lines_reader import LargeFileLinesReader +from modalities.tokenization.tokenizer_wrapper import TokenizerWrapper + + +class EmptySampleError(RuntimeError): + pass + + +class EmbeddedStreamData: + # amount of bytes to represent number of all tokens in dataset. + # If the amount exceeds 2^(8*`header_size_in_bytes`), this requires adaptation. + # Decided to keep this constant, since a size of 8 bytes requires more data than the internet currently provides + DATA_SECTION_LENGTH_IN_BYTES = 8 + TOKEN_SIZE_DESCRIPTOR_LENGTH_IN_BYTES = 4 + HEADER_SIZE_IN_BYTES = DATA_SECTION_LENGTH_IN_BYTES + TOKEN_SIZE_DESCRIPTOR_LENGTH_IN_BYTES + + def __init__(self, data_path: Path): + self._data_path = data_path + if not self._data_path.is_file(): + raise FileNotFoundError( + f"Packed Data was not found at {self._data_path}." + f"Create on in advance by using `modalities data pack_encoded_data`." + ) + + with self._data_path.open("rb") as f: + # get number of bytes in data section + data_section_length_in_bytes = f.read(self.DATA_SECTION_LENGTH_IN_BYTES) + self.data_len = int.from_bytes(data_section_length_in_bytes, byteorder="little") + + # get number of bytes for encoding a single token + f.seek(self.DATA_SECTION_LENGTH_IN_BYTES) + token_size_as_bytes = f.read(self.TOKEN_SIZE_DESCRIPTOR_LENGTH_IN_BYTES) + self.token_size_in_bytes = int.from_bytes(token_size_as_bytes, byteorder="little", signed=False) + + # get index + f.seek(self.HEADER_SIZE_IN_BYTES + self.data_len) + pkl_encoded_index = f.read() + # contains the start offset and length of each segment + # as byte positions in the data section + self.index_base: List[Tuple[int, int]] = pickle.loads(pkl_encoded_index) + + # initialize memmapped data section + self.data = np.memmap(self._data_path, mode="r", offset=self.HEADER_SIZE_IN_BYTES, shape=(self.data_len,)) + + +class PackedDataGenerator: + def __init__( + self, + src_path: FilePath, + tokenizer: TokenizerWrapper, + eod_token: str, + number_of_processes: int, + jq_pattern: str, + processing_batch_size: int, + raw_samples_queue_size: int, + processed_samples_queue_size: int, + index_path: Optional[FilePath] = None, + ): + """ + Reads in a jsonl file and the corresponding index file and packs dataset file for LLM training. + :param src_path: Path to a jsonl file, which holds text data + :param index_path: Path to an index file, which indicates the start character position + and length of samples given in `src_path`. + If not defined, an index file next to `src_path` is picked, + by replacing its suffix with ".idx". + :processing_batch_size: The size of the batches that the workers process + (has nothing to do with batch size during training!). + :param tokenizer: PretrainedTokenizer object, which is used to pre-tokenize the provided data in `src_path`. + Tokenization is necessary to work on final lengths of token sequences. + :param jq_pattern: jq-pattern applied on every jsonl-entry. Results are afterwards tokenized and packed + """ + self.src_path = src_path + self.tokenizer = tokenizer + self.eod_token = eod_token + self._token_size_in_bytes = self._get_required_num_of_bytes_to_repr(self.tokenizer.vocab_size) + encoded_eod_token = self.tokenizer.get_token_id(self.eod_token) + self._encoded_eos_token_as_bytes = self._encoded_token_to_bytes(encoded_eod_token) + self.jq_filter = jq.compile(jq_pattern) + self._number_of_processes = number_of_processes + self._reader = LargeFileLinesReader(src_path, index_path=index_path) + self._total_num_of_tokens = 0 + self._raw_samples_queue = multiprocessing.Queue(maxsize=raw_samples_queue_size) + self.processed_samples_queue = multiprocessing.Queue(maxsize=processed_samples_queue_size) + self._exception_buffer = [] + self.processing_batch_size = processing_batch_size + + @staticmethod + def _get_required_num_of_bytes_to_repr(int_to_get_repr: int) -> int: + return math.ceil(math.log(math.log2(int_to_get_repr), 8)) + + def _encoded_token_to_bytes(self, encoded_token: int) -> bytes: + return encoded_token.to_bytes(self._token_size_in_bytes, byteorder="little", signed=False) + + def _default_destination_path(self, destination_path: Optional[Path] = None) -> Path: + if destination_path is None: + default_destination_path = Path(self.src_path.parent, f"{self.src_path.stem}.pbin") + print( + f"No specific Destination Path provided. " + f"Pointing to destination next to input data at: {default_destination_path}" + ) + return default_destination_path + return Path(destination_path) + + def run(self, dst_path: Optional[Path] = None): + assert self._total_num_of_tokens == 0, f"This {self.__name__} was already used and is exhausted. Use another!" + dst_path = self._default_destination_path(destination_path=dst_path) + + dst_path.parent.mkdir(parents=True, exist_ok=True) + if dst_path.exists(): + raise ValueError(f"file already exists at destination path '{dst_path}'.") + + self._exception_buffer = [] + try: + # not setting this can cause deadlocks when using hf's "FastTokenizers". See also: + # https://stackoverflow.com/questions/62691279/how-to-disable-tokenizers-parallelism-true-false-warning/67254879#67254879 + os.environ["TOKENIZERS_PARALLELISM"] = "false" + self._launch_parallelized_workers(dst_path) + finally: + os.unsetenv("TOKENIZERS_PARALLELISM") + + if self._exception_buffer: + raise self._exception_buffer[0] + + def _launch_parallelized_workers(self, dst_path: Path): + reader = multiprocessing.Process(target=self._reader_thread()) + reader.start() + + writer = multiprocessing.Process(target=self._writer_thread(dst_path)) + writer.start() + processor_threads = [ + multiprocessing.Process(target=self._process_thread, args=(i,)) for i in range(self._number_of_processes) + ] + for p in processor_threads: + p.start() + for p in processor_threads: + p.join() + self._stop_processing() + writer.join() + + def _stop_processing(self): + self.processed_samples_queue.put(None) + + def _generator_for_tokens_to_get_written(self): + while True: + if self._check_for_parallel_errors(): + return + batch = self.processed_samples_queue.get() + if batch is None: + break + yield batch + + def _check_for_parallel_errors(self) -> bool: + return bool(self._exception_buffer) + + def _writer_thread(self, dst_path: Path) -> Callable: + def writer(): + # writes a batch received from the processed_samples_queue to the destination file + def _write_batch( + batch: List[Tuple[int, bytes]], prev_line_id: int, curr_offset: int, index_list: List, f: BufferedWriter + ) -> Tuple[int, int]: + # write the tokens for each document + for line_id, tokens_as_bytes in batch: + if prev_line_id + 1 != line_id: + raise ValueError( + f"Line IDs are not consecutive. Expected {prev_line_id + 1}, but got {line_id}" + ) + f.write(tokens_as_bytes) + segment_length = len(tokens_as_bytes) + index_list.append((curr_offset, segment_length)) + curr_offset += segment_length + prev_line_id = line_id + return prev_line_id, curr_offset + + index_list = [] + with dst_path.open("wb") as f: + # allocate first self.header_size_in_bytes bytes for header (encodes length of data section) + # not possible to prepend header after determining size of data section + f.write((0).to_bytes(EmbeddedStreamData.DATA_SECTION_LENGTH_IN_BYTES, byteorder="little")) + f.write( + self._token_size_in_bytes.to_bytes( + EmbeddedStreamData.TOKEN_SIZE_DESCRIPTOR_LENGTH_IN_BYTES, byteorder="little" + ) + ) + # The offset only applies to the data section, not the header + # When we load the file, we add the header size to the offset + curr_offset = 0 + + # write data section (tokens) + pbar = tqdm(total=len(self._reader), desc="Processed batches") + prev_line_id = -1 + batch_dict = {} + for batch in self._generator_for_tokens_to_get_written(): + line_id = batch[0][0] + batch_dict[line_id] = batch + + while prev_line_id + 1 in batch_dict: + batch = batch_dict.pop(prev_line_id + 1) + prev_line_id, curr_offset = _write_batch(batch, prev_line_id, curr_offset, index_list, f) + pbar.update(len(batch)) + # write index + f.write(pickle.dumps(index_list)) + + self._update_data_length_in_pre_allocated_header(dst_path, index_list) + + return writer + + def _reader_thread(self) -> Callable: + def reader(): + batch = [] + for line_id, line in tqdm(enumerate(self._reader), desc="Reading jsonl", disable=True): + # line = self._reader[line_id] + batch.append((line_id, line)) + if len(batch) % self.processing_batch_size == 0: + self._raw_samples_queue.put(batch) + batch = [] + + # add the remaining samples + if len(batch) > 0: + self._raw_samples_queue.put(batch) + + for _ in range(self._number_of_processes): + self._raw_samples_queue.put(None) + + return reader + + def _process_thread(self, process_id: int): + if self._check_for_parallel_errors(): + return + + while True: + if self._check_for_parallel_errors(): + return + batch = self._raw_samples_queue.get() + if batch is None: + break + + try: + batch_processed = [] + for line_id, line in batch: + processed_line = self._process_line(line, process_id) + batch_processed.append((line_id, processed_line)) + self.processed_samples_queue.put(batch_processed) + except EmptySampleError: + warnings.warn( + f"Encountered empty sample in line {line_id} of file {self.src_path} within process {process_id}" + ) + except Exception as exception: + warnings.warn( + f"Could not process line of number {line_id} within process {process_id}. " + f"Raised the following error: {exception=}" + ) + + def _update_data_length_in_pre_allocated_header(self, dst_path: Path, index_list: List[Tuple[int, int]]): + length_of_byte_encoded_data_section = index_list[-1][0] + index_list[-1][1] + data_section_length_in_bytes = length_of_byte_encoded_data_section.to_bytes( + EmbeddedStreamData.DATA_SECTION_LENGTH_IN_BYTES, byteorder="little" + ) + with dst_path.open("rb+") as fout: + fout.seek(0) + fout.write(data_section_length_in_bytes) + + def _process_line(self, line: str, process_id: int) -> bytes: + jq_retrieved_text = self.jq_filter.input_text(line).first() + if jq_retrieved_text is None: + raise ValueError(f"jq was not able to find anything using the expression: {self.jq_filter}") + tokens = self.tokenizer.tokenize(jq_retrieved_text) + if len(tokens) == 0: + raise EmptySampleError("Received empty sample...") + return b"".join(map(self._encoded_token_to_bytes, tokens)) + self._encoded_eos_token_as_bytes + + +def join_embedded_stream_data(stream_data: List[EmbeddedStreamData], target_file: Path, chunk_size: int = 2048): + if target_file.exists(): + raise FileExistsError(f'Target File at "{target_file}" exists!') + data_len = sum(d.data_len for d in stream_data) + assert len({d.token_size_in_bytes for d in stream_data}) == 1, ( + "Found different token representation sizes. This could indicate the usage of different tokenizers. " + "Not supported!" + ) + token_size_in_bytes = stream_data[0].token_size_in_bytes + + num_data_chunks = sum(math.ceil(d.data_len / chunk_size) for d in stream_data) + data_stream_generator = (d.data[i : i + chunk_size] for d in stream_data for i in range(0, d.data_len, chunk_size)) + + num_entries = sum(len(d.index_base) for d in stream_data) + + def index_stream_generator() -> Iterator[Tuple[int, int]]: + curr_offset = 0 + for embedded_stream_data in stream_data: + for entry_offset, segment_length in embedded_stream_data.index_base: + yield entry_offset + curr_offset, segment_length + curr_offset += embedded_stream_data.data_len + curr_offset -= embedded_stream_data.HEADER_SIZE_IN_BYTES + + with target_file.open("wb") as fout: + fout.write(data_len.to_bytes(EmbeddedStreamData.DATA_SECTION_LENGTH_IN_BYTES, byteorder="little")) + fout.write( + token_size_in_bytes.to_bytes(EmbeddedStreamData.TOKEN_SIZE_DESCRIPTOR_LENGTH_IN_BYTES, byteorder="little") + ) + for data_chunk in tqdm(data_stream_generator, total=num_data_chunks, desc="Writing Data Chunks..."): + fout.write(data_chunk) + + joint_index = [entry for entry in tqdm(index_stream_generator(), total=num_entries, desc="Concatenating Index")] + pickled_index = pickle.dumps(joint_index) + pickled_index_as_chunks = (pickled_index[i : i + chunk_size] for i in range(0, len(pickled_index), chunk_size)) + num_index_chunks = math.ceil(len(pickled_index) / chunk_size) + for index_chunk in tqdm(pickled_index_as_chunks, total=num_index_chunks, desc="Writing Index Chunks..."): + fout.write(index_chunk) diff --git a/tests/dataloader/test_packed_dataset.py b/tests/dataloader/test_packed_dataset.py index dfbcdcb0..6fc81b3e 100644 --- a/tests/dataloader/test_packed_dataset.py +++ b/tests/dataloader/test_packed_dataset.py @@ -3,12 +3,16 @@ import pytest -from modalities.dataloader.create_packed_data import EmbeddedStreamData, PackedDataGenerator, join_embedded_stream_data from modalities.dataloader.dataset import ( PackedMemMapDatasetBase, PackedMemMapDatasetContinuous, PackedMemMapDatasetMegatron, ) +from modalities.dataloader.packed_data_generator import ( + EmbeddedStreamData, + PackedDataGenerator, + join_embedded_stream_data, +) from modalities.models.gpt2.collator import GPT2LLMCollateFn From 72ed828e8c3f8b252dfe822c7a27ab2b68877bb7 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Tue, 20 Aug 2024 16:48:16 +0200 Subject: [PATCH 62/70] fix(sft): do not append hash twice --- src/modalities/__main__.py | 25 ++++++------------- .../dataloader/apply_chat_template.py | 2 +- 2 files changed, 9 insertions(+), 18 deletions(-) diff --git a/src/modalities/__main__.py b/src/modalities/__main__.py index b4ab3d62..0c7146c0 100644 --- a/src/modalities/__main__.py +++ b/src/modalities/__main__.py @@ -21,7 +21,7 @@ InstructionTuningInstantiationModel, TrainingComponentsInstantiationModel, ) -from modalities.dataloader.apply_chat_template import apply_chat_template +from modalities.dataloader.apply_chat_template import split_and_apply_chat_template from modalities.dataloader.create_index import create_raw_index from modalities.dataloader.create_packed_data import pack_encoded_data from modalities.dataloader.packed_data_generator import EmbeddedStreamData, join_embedded_stream_data @@ -105,18 +105,18 @@ def entry_point_data_prepare_instruction_tuning_data(config_file_path: Path): Utility for preparing instruction-tuning data by converting, train-val-splitting, index- and pbin-file-creation. """ config_dict = load_app_config_dict(config_file_path=config_file_path) - assert "split_config" in config_dict["settings"], "split_config must be defined in the config file." - assert ( - sum(config_dict["settings"]["split_config"]["splitting"].values()) == 100 - ), "The split_config values must sum up to 100." - partition_to_output_file_path_mapping = apply_chat_template(config_file_path) + + # split and apply chat template + partition_to_output_file_path_mapping = split_and_apply_chat_template(config_file_path) config = InstructionTuningInstantiationModel(**config_dict) hash_suffix = list(partition_to_output_file_path_mapping.values())[0].suffixes[0] for partition, jsonl_data_out_file_path in partition_to_output_file_path_mapping.items(): + # create the index idx_file_path = jsonl_data_out_file_path.with_suffix(".idx") create_raw_index(jsonl_data_out_file_path, idx_file_path) + # create pbin files pbin_config_file_path = jsonl_data_out_file_path.with_name(f"pbin_config_{partition}").with_suffix( f"{hash_suffix}.yaml" ) @@ -124,21 +124,12 @@ def entry_point_data_prepare_instruction_tuning_data(config_file_path: Path): pbin_config = load_app_config_dict(config_file_path=pbin_config_file_path) pbin_config["settings"]["src_path"] = str(jsonl_data_out_file_path) pbin_config["settings"]["index_path"] = str(idx_file_path) - pbin_config["settings"]["dst_path"] = str(idx_file_path.with_suffix(f"{hash_suffix}.pbin")) + pbin_config["settings"]["dst_path"] = str(idx_file_path.with_suffix(".pbin")) with open(pbin_config_file_path, "w") as f: - yaml.dump(pbin_config, f) + yaml.dump(pbin_config, f, allow_unicode=True) pack_encoded_data(pbin_config_file_path) -@data.command(name="apply_chat_template") -@config_file_path_option -def entry_point_data_apply_chat_template(config_file_path: Path): - """ - Utility for applying a chat template to a jsonl-file using a jinja2 tempalate defined in the config. - """ - apply_chat_template(config_file_path=config_file_path) - - @data.command(name="create_raw_index") @click.argument("src_path", type=Path) @click.option( diff --git a/src/modalities/dataloader/apply_chat_template.py b/src/modalities/dataloader/apply_chat_template.py index efe111a3..7aa3828f 100644 --- a/src/modalities/dataloader/apply_chat_template.py +++ b/src/modalities/dataloader/apply_chat_template.py @@ -14,7 +14,7 @@ from modalities.config.instantiation_models import InstructionTuningInstantiationModel, SplitConfig -def apply_chat_template(config_file_path: Path) -> Dict[str, Path]: +def split_and_apply_chat_template(config_file_path: Path) -> Dict[str, Path]: """ Applies a chat template to the given configuration file. From 65946334cdc17d64c61409390eea7d0e8ebe5bd0 Mon Sep 17 00:00:00 2001 From: rrutmann Date: Mon, 9 Sep 2024 13:21:58 +0200 Subject: [PATCH 63/70] test(sft): Use special tokens already existing in tokenizers vocabulary --- .../data_preparation/apply_chat_template_config.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index 00e5b1d7..b1bfaced 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -40,6 +40,6 @@ chat_template_data: system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." # Currently only works with HF tokenizers, as the special tokens are added to the tokenizer special_tokens: - b_include_to_loss_token: <|im_start|> - e_include_to_loss_token: <|im_end|> - e_assistant_token: <|end_assistant|> + b_include_to_loss_token: ^ + e_include_to_loss_token: $ + e_assistant_token: ° From 66f0bea0f31d5bc8bfcb6e0e9d4c28872f794e89 Mon Sep 17 00:00:00 2001 From: rrutmann Date: Mon, 9 Sep 2024 13:24:40 +0200 Subject: [PATCH 64/70] test(sft): Add data and config for tests --- tests/config/test_configs/config_sft.yaml | 339 ++++++++++++++++++ .../test_e2e_instruction_tuning.py | 2 +- ...lorem_ipsum_sft_converted_test.7e71e5e.idx | Bin 0 -> 71 bytes ...rem_ipsum_sft_converted_test.7e71e5e.jsonl | 7 + ...orem_ipsum_sft_converted_test.7e71e5e.pbin | Bin 0 -> 28769 bytes ...orem_ipsum_sft_converted_train.7e71e5e.idx | Bin 0 -> 359 bytes ...em_ipsum_sft_converted_train.7e71e5e.jsonl | 43 +++ ...rem_ipsum_sft_converted_train.7e71e5e.pbin | Bin 0 -> 176639 bytes ...orem_ipsum_sft_converted_val.7e71e5e.jsonl | 0 .../pbin_config_test.7e71e5e.yaml | 25 ++ .../pbin_config_train.7e71e5e.yaml | 25 ++ .../sft_chat_template_config.7e71e5e.yaml | 45 +++ 12 files changed, 485 insertions(+), 1 deletion(-) create mode 100644 tests/config/test_configs/config_sft.yaml create mode 100644 tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_test.7e71e5e.idx create mode 100644 tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_test.7e71e5e.jsonl create mode 100644 tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_test.7e71e5e.pbin create mode 100644 tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_train.7e71e5e.idx create mode 100644 tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_train.7e71e5e.jsonl create mode 100644 tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_train.7e71e5e.pbin create mode 100644 tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_val.7e71e5e.jsonl create mode 100644 tests/test_data/lorem_ipsum_sft_7e71e5e/pbin_config_test.7e71e5e.yaml create mode 100644 tests/test_data/lorem_ipsum_sft_7e71e5e/pbin_config_train.7e71e5e.yaml create mode 100644 tests/test_data/lorem_ipsum_sft_7e71e5e/sft_chat_template_config.7e71e5e.yaml diff --git a/tests/config/test_configs/config_sft.yaml b/tests/config/test_configs/config_sft.yaml new file mode 100644 index 00000000..7177fcd0 --- /dev/null +++ b/tests/config/test_configs/config_sft.yaml @@ -0,0 +1,339 @@ +settings: + experiment_id: ${modalities_env:experiment_id} + config_file_path: ${modalities_env:config_file_path} + referencing_keys: + sample_key: input_ids + target_key: target_ids + training: + training_log_interval_in_steps: 2 + checkpointing_interval_in_steps: 2 + evaluation_interval_in_steps: 2 + global_num_seen_tokens: 0 + activation_checkpointing_modules: [GPT2Block] + gradient_acc_steps: 2 + local_train_micro_batch_size: 1 + sequence_length: 2048 + cuda_env: + local_rank: ${cuda_env:LOCAL_RANK} + global_rank: ${cuda_env:RANK} + world_size: ${cuda_env:WORLD_SIZE} + paths: + checkpointing_path: data/checkpoints + +collate_fn: + component_key: collate_fn + variant_key: mask_loss_collator_wrapper + config: + wrapped_collate_fn: + component_key: collate_fn + variant_key: gpt_2_llm_collator + config: + sample_key: ${settings.referencing_keys.sample_key} + target_key: ${settings.referencing_keys.target_key} + target_keys_to_mask: + - ${settings.referencing_keys.target_key} + loss_ignore_index: -100 + mask_tokens: + b_include_to_loss_token: ^ + e_include_to_loss_token: $ + tokenizer: + instance_key: tokenizer + pass_type: BY_REFERENCE + +train_dataset: + component_key: dataset + variant_key: packed_mem_map_dataset_continuous + config: + raw_data_path: ./tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_test.7e71e5e.pbin + sequence_length: ${settings.training.sequence_length} + sample_key: ${settings.referencing_keys.sample_key} + reuse_last_target: false + +train_dataloader: + component_key: data_loader + variant_key: default + config: + num_workers: 2 + pin_memory: true + shuffle: false + dataloader_tag: train + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + batch_sampler: + component_key: batch_sampler + variant_key: default + config: + batch_size: ${settings.training.local_train_micro_batch_size} + drop_last: true + sampler: + component_key: sampler + variant_key: distributed_sampler + config: + rank: ${settings.cuda_env.global_rank} + num_replicas: ${settings.cuda_env.world_size} + shuffle: true + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + collate_fn: + instance_key: collate_fn + pass_type: BY_REFERENCE + +val_dataloader: + component_key: data_loader + variant_key: default + config: + num_workers: 2 + pin_memory: true + shuffle: false + dataloader_tag: "val" + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + batch_sampler: + component_key: batch_sampler + variant_key: default + config: + batch_size: 4 + drop_last: true + sampler: + component_key: sampler + variant_key: distributed_sampler + config: + rank: ${settings.cuda_env.global_rank} + num_replicas: ${settings.cuda_env.world_size} + shuffle: false + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + collate_fn: + instance_key: collate_fn + pass_type: BY_REFERENCE + +test_dataloader: + component_key: data_loader + variant_key: default + config: + num_workers: 2 + pin_memory: true + shuffle: false + dataloader_tag: "test" + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + batch_sampler: + component_key: batch_sampler + variant_key: default + config: + batch_size: 2 + drop_last: true + sampler: + component_key: sampler + variant_key: distributed_sampler + config: + rank: ${settings.cuda_env.global_rank} + num_replicas: ${settings.cuda_env.world_size} + shuffle: false + dataset: + instance_key: train_dataset + pass_type: BY_REFERENCE + collate_fn: + instance_key: collate_fn + pass_type: BY_REFERENCE + +eval_dataloaders: + - instance_key: val_dataloader + pass_type: BY_REFERENCE + - instance_key: test_dataloader + pass_type: BY_REFERENCE + +checkpoint_saving: + component_key: checkpoint_saving + variant_key: default + config: + checkpoint_saving_strategy: + component_key: checkpoint_saving_strategy + variant_key: save_k_most_recent_checkpoints_strategy + config: + k: -1 # -1 to save all checkpoints + checkpoint_saving_execution: + component_key: checkpoint_saving_execution + variant_key: fsdp + config: + checkpoint_path: ${settings.paths.checkpointing_path} + global_rank: ${settings.cuda_env.global_rank} + experiment_id: ${settings.experiment_id} + get_num_tokens_from_num_steps_callable: + component_key: number_conversion + variant_key: num_tokens_from_num_steps_callable + config: + num_ranks: ${settings.cuda_env.world_size} + local_micro_batch_size: ${settings.training.local_train_micro_batch_size} + sequence_length: ${settings.training.sequence_length} + +# resolving class types via different enums sucks... +loss_fn: + component_key: loss + variant_key: clm_cross_entropy_loss + config: + target_key: target_ids + prediction_key: logits + +wrapped_model: + component_key: model + variant_key: fsdp_wrapped + config: + model: + instance_key: model + pass_type: BY_REFERENCE + sync_module_states: true + mixed_precision_settings: BF_16 + sharding_strategy: FULL_SHARD + block_names: [GPT2Block] + +model: + component_key: model + variant_key: model_initialized + config: + model: + instance_key: model_raw + pass_type: BY_REFERENCE + model_initializer: + component_key: model_initialization + variant_key: composed + config: + model_type: gpt2 + weight_init_type: scaled + mean: 0.0 + std: 0.02 + num_layers: ${model_raw.config.n_layer} + +model_raw: + component_key: model + variant_key: gpt2 + config: + sample_key: ${settings.referencing_keys.sample_key} + poe_type: NOPE + sequence_length: ${settings.training.sequence_length} + prediction_key: ${loss_fn.config.prediction_key} + vocab_size: 50304 # GPT-2 vocab_size of 50257, padded up to nearest multiple of 64 for efficiency + n_layer: 2 + n_head_q: 8 + n_head_kv: 4 + ffn_hidden: 128 + n_embd: 128 + dropout: 0.0 + bias: true # True: bias in Linears and LayerNorms, like GPT-2. False: a bit better and faster + attention_config: + qkv_transforms: + - type_hint: RotaryTransform + config: + n_embd: ${model_raw.config.n_embd} + n_head: ${model_raw.config.n_head_q} #it has to be head_q here + seq_length_dim: -2 + attention_implementation: manual + activation_type: swiglu + attention_norm: + component_key: layer_norm + variant_key: rms_norm + config: + ndim: ${model_raw.config.n_embd} + bias: true + epsilon: 1e-5 + ffn_norm: + component_key: layer_norm + variant_key: rms_norm + config: + ndim: ${model_raw.config.n_embd} + bias: true + epsilon: 1e-5 + lm_head_norm: + component_key: layer_norm + variant_key: rms_norm + config: + ndim: ${model_raw.config.n_embd} + bias: true + epsilon: 1e-5 + +tokenizer: + component_key: tokenizer + variant_key: pretrained_hf_tokenizer + config: + pretrained_model_name_or_path: data/tokenizer/hf_gpt2 + padding: false + truncation: false + special_tokens: + additional_special_tokens: + - "^" + - "$" + - "°" + +scheduler: + component_key: scheduler + variant_key: onecycle_lr + config: + optimizer: + instance_key: optimizer + pass_type: BY_REFERENCE + max_lr: 6e-4 + div_factor: 10 + final_div_factor: 1 + total_steps: 16 + pct_start: 0.01 + anneal_strategy: cos + +optimizer: + component_key: optimizer + variant_key: adam_w + config: + lr: 0.0001 + betas: [0.9, 0.95] + eps: 1e-8 + weight_decay: 1e-1 + weight_decay_groups_excluded: [embedding, layernorm] + wrapped_model: + instance_key: wrapped_model + pass_type: BY_REFERENCE + +gradient_clipper: + component_key: gradient_clipper + variant_key: fsdp + config: + wrapped_model: + instance_key: wrapped_model + pass_type: BY_REFERENCE + norm_type: P2_NORM + max_norm: 1.0 + +batch_progress_subscriber: + component_key: progress_subscriber + variant_key: rich + config: + global_rank: ${settings.cuda_env.global_rank} + global_num_seen_steps: + component_key: number_conversion + variant_key: num_steps_from_num_tokens + config: + num_ranks: ${settings.cuda_env.world_size} + local_micro_batch_size: ${settings.training.local_train_micro_batch_size} + global_num_tokens: ${settings.training.global_num_seen_tokens} + sequence_length: ${settings.training.sequence_length} + gradient_acc_steps: ${settings.training.gradient_acc_steps} + train_dataloader: + instance_key: train_dataloader + pass_type: BY_REFERENCE + eval_dataloaders: + instance_key: eval_dataloaders + pass_type: BY_REFERENCE + +evaluation_subscriber: + component_key: results_subscriber + variant_key: wandb + config: + global_rank: ${settings.cuda_env.global_rank} + project: modalities_lorem_ipsum + mode: OFFLINE + experiment_id: ${settings.experiment_id} + directory: "." + config_file_path: ${settings.config_file_path} diff --git a/tests/instruction_tuning/test_e2e_instruction_tuning.py b/tests/instruction_tuning/test_e2e_instruction_tuning.py index af01707f..7ebf1bab 100644 --- a/tests/instruction_tuning/test_e2e_instruction_tuning.py +++ b/tests/instruction_tuning/test_e2e_instruction_tuning.py @@ -18,7 +18,7 @@ def test_e2e_instruction_tuning(monkeypatch, tmp_path): monkeypatch.setenv("MASTER_PORT", "9949") # Load config - dummy_config_path = _ROOT_DIR / Path("config_files/training/config_lorem_ipsum_sft.yaml") + dummy_config_path = _ROOT_DIR / Path("tests/config/test_configs/config_sft.yaml") config_dict = load_app_config_dict(dummy_config_path) checkpointing_path = tmp_path / "sft_checkpoints/" diff --git a/tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_test.7e71e5e.idx b/tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_test.7e71e5e.idx new file mode 100644 index 0000000000000000000000000000000000000000..5197e9297f36c80a2f45f8cd322c3eaee45a186d GIT binary patch literal 71 zcmZo*nQFrT0kKmwycvAUncJrLRx|rf1kwELzVRTskju9MM8D&Q K-*OF|90%~<@6GJ&wlia{>n^K}t89DNI#_OauxvB>L)$8vn6PA8nAyRgj6m>E zQC1=m^v5U)iVoGG2!f#K&n4{82GPHRLC~clBB(>&v^P7-Ds~XIL)3SLee#?)Z|CD& z-gn-6Td;?+FCpK%wE^D5?W#`956jvj8zPrk<9o{L-Eq~VM_b#=BivZ{AZp3lV!fF+ zhD;ivyYWIQp_Dtp;~b_{vPOGcLM!QbEm6BG!^_!J)4bmumVfCXW%BsZ;sH*}HT*y^C#oJ*Y43di%<4?;pS9(PfV*L`l6)y8gCXZ(eEvnpYoMk zr?tvk?oC_#U0#FJw&@9eAOHafKmY;|fB*y_009U<00RHBKz<28vm9|(h3bVf)^}2X z7&WNpc+_R_u%}Tq=M_W;-#^m8wufv|dcqn&eXkd0lC}cpqw^!K)Szi94>UP|A$3dnZQz|MOjq zYli>?AOHafKmY;|fB*y_0D;*8`6U1enE7BRL{z9@XNloo{6QXK@=W6Bj21-t#C?hsZ)CDoYLFm Ll*YDf*;V-qJ&->p literal 0 HcmV?d00001 diff --git a/tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_train.7e71e5e.idx b/tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_train.7e71e5e.idx new file mode 100644 index 0000000000000000000000000000000000000000..43ea235a37ba9c7f44e6a7c42b1db57de8532aed GIT binary patch literal 359 zcmZo*nHs~$00yyBG`tyn4O!Zz_?oczt_9IgIeZs_=uTeWeh@7!mla3Z}Ghk^iQfD02YCUWB>pF literal 0 HcmV?d00001 diff --git a/tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_train.7e71e5e.jsonl b/tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_train.7e71e5e.jsonl new file mode 100644 index 00000000..d3723ff0 --- /dev/null +++ b/tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_train.7e71e5e.jsonl @@ -0,0 +1,43 @@ +{"id": 1, "conversations": [{"from": "User1", "value": "How does AI work?"}, {"from": "Assistant", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "User1", "value": "Yes, please."}, {"from": "Assistant", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n°$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n°$"} +{"id": 2, "conversations": [{"from": "User1", "value": "Can you write a poem?"}, {"from": "Assistant", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "User1", "value": "Write about the sea."}, {"from": "Assistant", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "User2", "value": "That's beautiful, thanks!"}, {"from": "Assistant", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n°$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n°$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n°$"} +{"id": 5, "conversations": [{"from": "User1", "value": "What is the meaning of life?"}, {"from": "Assistant", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "User1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "Assistant", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n°$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n°$"} +{"id": 6, "conversations": [{"from": "User1", "value": "What is the best way to learn a new language?"}, {"from": "Assistant", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n°$"} +{"id": 7, "conversations": [{"from": "User1", "value": "What is the best way to stay healthy?"}, {"from": "Assistant", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n°$"} +{"id": 8, "conversations": [{"from": "User1", "value": "What is the best way to study for exams?"}, {"from": "Assistant", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n°$"} +{"id": 9, "conversations": [{"from": "User1", "value": "What is the best way to save money?"}, {"from": "Assistant", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n°$"} +{"id": 10, "conversations": [{"from": "User1", "value": "What is up?`"}, {"from": "Assistant", "value": "Hello! How can I help you today?"}, {"from": "User1", "value": "Who are you?"}, {"from": "Assistant", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "User2", "value": "Goodbye"}, {"from": "Assistant", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n°$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n°$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n°$"} +{"id": 11, "conversations": [{"from": "User1", "value": "How does AI work?"}, {"from": "Assistant", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "User1", "value": "Yes, please."}, {"from": "Assistant", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n°$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n°$"} +{"id": 12, "conversations": [{"from": "User1", "value": "Can you write a poem?"}, {"from": "Assistant", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "User1", "value": "Write about the sea."}, {"from": "Assistant", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "User2", "value": "That's beautiful, thanks!"}, {"from": "Assistant", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n°$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n°$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n°$"} +{"id": 13, "conversations": [{"from": "User1", "value": "What's the weather like today?"}, {"from": "Assistant", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "User1", "value": "Yes, please."}, {"from": "Assistant", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n°$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n°$"} +{"id": 14, "conversations": [{"from": "User1", "value": "What is the capital of France?"}, {"from": "Assistant", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "User1", "value": "No, but I'd love to visit someday."}, {"from": "Assistant", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n°$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n°$"} +{"id": 15, "conversations": [{"from": "User1", "value": "What is the meaning of life?"}, {"from": "Assistant", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "User1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "Assistant", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n°$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n°$"} +{"id": 16, "conversations": [{"from": "User1", "value": "What is the best way to learn a new language?"}, {"from": "Assistant", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n°$"} +{"id": 17, "conversations": [{"from": "User1", "value": "What is the best way to stay healthy?"}, {"from": "Assistant", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n°$"} +{"id": 18, "conversations": [{"from": "User1", "value": "What is the best way to study for exams?"}, {"from": "Assistant", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n°$"} +{"id": 19, "conversations": [{"from": "User1", "value": "What is the best way to save money?"}, {"from": "Assistant", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n°$"} +{"id": 21, "conversations": [{"from": "User1", "value": "How does AI work?"}, {"from": "Assistant", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "User1", "value": "Yes, please."}, {"from": "Assistant", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n°$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n°$"} +{"id": 22, "conversations": [{"from": "User1", "value": "Can you write a poem?"}, {"from": "Assistant", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "User1", "value": "Write about the sea."}, {"from": "Assistant", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "User2", "value": "That's beautiful, thanks!"}, {"from": "Assistant", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n°$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n°$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n°$"} +{"id": 23, "conversations": [{"from": "User1", "value": "What's the weather like today?"}, {"from": "Assistant", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "User1", "value": "Yes, please."}, {"from": "Assistant", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n°$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n°$"} +{"id": 24, "conversations": [{"from": "User1", "value": "What is the capital of France?"}, {"from": "Assistant", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "User1", "value": "No, but I'd love to visit someday."}, {"from": "Assistant", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n°$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n°$"} +{"id": 25, "conversations": [{"from": "User1", "value": "What is the meaning of life?"}, {"from": "Assistant", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "User1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "Assistant", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n°$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n°$"} +{"id": 26, "conversations": [{"from": "User1", "value": "What is the best way to learn a new language?"}, {"from": "Assistant", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n°$"} +{"id": 27, "conversations": [{"from": "User1", "value": "What is the best way to stay healthy?"}, {"from": "Assistant", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n°$"} +{"id": 28, "conversations": [{"from": "User1", "value": "What is the best way to study for exams?"}, {"from": "Assistant", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n°$"} +{"id": 29, "conversations": [{"from": "User1", "value": "What is the best way to save money?"}, {"from": "Assistant", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n°$"} +{"id": 30, "conversations": [{"from": "User1", "value": "What is up?`"}, {"from": "Assistant", "value": "Hello! How can I help you today?"}, {"from": "User1", "value": "Who are you?"}, {"from": "Assistant", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "User2", "value": "Goodbye"}, {"from": "Assistant", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n°$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n°$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n°$"} +{"id": 31, "conversations": [{"from": "User1", "value": "How does AI work?"}, {"from": "Assistant", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "User1", "value": "Yes, please."}, {"from": "Assistant", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n°$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n°$"} +{"id": 32, "conversations": [{"from": "User1", "value": "Can you write a poem?"}, {"from": "Assistant", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "User1", "value": "Write about the sea."}, {"from": "Assistant", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "User2", "value": "That's beautiful, thanks!"}, {"from": "Assistant", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n°$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n°$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n°$"} +{"id": 34, "conversations": [{"from": "User1", "value": "What is the capital of France?"}, {"from": "Assistant", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "User1", "value": "No, but I'd love to visit someday."}, {"from": "Assistant", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n°$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n°$"} +{"id": 35, "conversations": [{"from": "User1", "value": "What is the meaning of life?"}, {"from": "Assistant", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "User1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "Assistant", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n°$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n°$"} +{"id": 36, "conversations": [{"from": "User1", "value": "What is the best way to learn a new language?"}, {"from": "Assistant", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n°$"} +{"id": 37, "conversations": [{"from": "User1", "value": "What is the best way to stay healthy?"}, {"from": "Assistant", "value": "The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to stay healthy?\nAssistant:^The best way to stay healthy is to eat a balanced diet, exercise regularly, get enough sleep, and manage stress. It's also important to see your doctor for regular check-ups and screenings.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Taking care of your health is important for your overall well-being. If you have any more questions, feel free to ask.\n°$"} +{"id": 38, "conversations": [{"from": "User1", "value": "What is the best way to study for exams?"}, {"from": "Assistant", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask.\n°$"} +{"id": 39, "conversations": [{"from": "User1", "value": "What is the best way to save money?"}, {"from": "Assistant", "value": "The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to save money?\nAssistant:^The best way to save money is to create a budget, track your expenses, and look for ways to cut costs. You can also set financial goals and automate your savings to make it easier to save.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Saving money is an important skill that can help you achieve your financial goals. If you have any more questions, feel free to ask.\n°$"} +{"id": 40, "conversations": [{"from": "User1", "value": "What is up?`"}, {"from": "Assistant", "value": "Hello! How can I help you today?"}, {"from": "User1", "value": "Who are you?"}, {"from": "Assistant", "value": "You can call me Mody, and I was trained by the modalities team as a language model."}, {"from": "User2", "value": "Goodbye"}, {"from": "Assistant", "value": "Goodbye! If you have any more questions in the future, don't hesitate to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is up?`\nAssistant:^Hello! How can I help you today?\n°$User1: Who are you?\nAssistant:^You can call me Mody, and I was trained by the modalities team as a language model.\n°$User2: Goodbye\nAssistant:^Goodbye! If you have any more questions in the future, don't hesitate to ask.\n°$"} +{"id": 41, "conversations": [{"from": "User1", "value": "How does AI work?"}, {"from": "Assistant", "value": "AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?"}, {"from": "User1", "value": "Yes, please."}, {"from": "Assistant", "value": "Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: How does AI work?\nAssistant:^AI, or artificial intelligence, operates by analyzing data and patterns to make decisions or predictions. Would you like a more detailed explanation?\n°$User1: Yes, please.\nAssistant:^Sure, AI systems, such as neural networks, are trained using large amounts of data. They learn to recognize patterns and make predictions. It's like how a child learns from experience.\n°$"} +{"id": 42, "conversations": [{"from": "User1", "value": "Can you write a poem?"}, {"from": "Assistant", "value": "Of course! Give me a topic, and I'll write something for you."}, {"from": "User1", "value": "Write about the sea."}, {"from": "Assistant", "value": "The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide."}, {"from": "User2", "value": "That's beautiful, thanks!"}, {"from": "Assistant", "value": "You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: Can you write a poem?\nAssistant:^Of course! Give me a topic, and I'll write something for you.\n°$User1: Write about the sea.\nAssistant:^The sea, a vast expanse, so deep and wide, Whispers secrets at the tide's low ebb, Its waves, the rhythm of time's endless web, A world of mystery beneath its hide.\n°$User2: That's beautiful, thanks!\nAssistant:^You're welcome! I'm glad you liked it. If you have any more requests, feel free to ask.\n°$"} +{"id": 43, "conversations": [{"from": "User1", "value": "What's the weather like today?"}, {"from": "Assistant", "value": "I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?"}, {"from": "User1", "value": "Yes, please."}, {"from": "Assistant", "value": "You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What's the weather like today?\nAssistant:^I'm not able to check real-time data, but I can tell you how to find out using a weather app or website. Would that help?\n°$User1: Yes, please.\nAssistant:^You can use weather websites like Weather.com or apps like AccuWeather to get current weather conditions and forecasts.\n°$"} +{"id": 44, "conversations": [{"from": "User1", "value": "What is the capital of France?"}, {"from": "Assistant", "value": "The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?"}, {"from": "User1", "value": "No, but I'd love to visit someday."}, {"from": "Assistant", "value": "It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!"}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the capital of France?\nAssistant:^The capital of France is Paris. It's known for its art, culture, and history. Have you ever been there?\n°$User1: No, but I'd love to visit someday.\nAssistant:^It's a beautiful city with so much to see and do. I hope you get the chance to visit soon!\n°$"} +{"id": 45, "conversations": [{"from": "User1", "value": "What is the meaning of life?"}, {"from": "Assistant", "value": "The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?"}, {"from": "User1", "value": "I think it's about making the most of the time we have and finding joy in the little things."}, {"from": "Assistant", "value": "That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the meaning of life?\nAssistant:^The meaning of life is a philosophical question that has been debated for centuries. Some believe it's about finding happiness, others think it's about fulfilling a purpose. What do you think?\n°$User1: I think it's about making the most of the time we have and finding joy in the little things.\nAssistant:^That's a beautiful perspective. It's important to appreciate the present and find joy in everyday moments.\n°$"} +{"id": 46, "conversations": [{"from": "User1", "value": "What is the best way to learn a new language?"}, {"from": "Assistant", "value": "The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n°$"} +{"id": 48, "conversations": [{"from": "User1", "value": "What is the best way to study for exams?"}, {"from": "Assistant", "value": "The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated."}, {"from": "User1", "value": "Thank you for the advice."}, {"from": "Assistant", "value": "You're welcome! Studying can be challenging, but with the right strategies, you can succeed. If you have any more questions, feel free to ask."}], "chat": "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to study for exams?\nAssistant:^The best way to study for exams is to create a study schedule, break down the material into manageable chunks, and use active learning techniques like flashcards or practice tests. It's also important to get plenty of rest and stay hydrated.\n°$User1: Thank you for the advice.\nAssistant:^You're welcome! Studying can be challenging, but with the right strategies, you can succeed. 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+jinja2_chat_template: | + {{ chat_template_data.system_instruction + '\n' }} + {% for turn in conversation %} + {{ turn.from + ':' }} + {% if turn.from == chat_template_data.assistant_role %} + {{ chat_template_data.special_tokens.b_include_to_loss_token}} + {% else %} + {{ " " }} + {% endif %} + {{ turn.value + '\n'}} + {% if turn.from == chat_template_data.assistant_role %} + {{ chat_template_data.special_tokens.e_assistant_token}} + {{ chat_template_data.special_tokens.e_include_to_loss_token}} + {% endif %} + {% endfor %} + +# The key-value pairs of chat_template_data are passed to the Jinja2 template and +# are not type checked for full compliance with the chat tempalate! +chat_template_data: + assistant_role: Assistant + system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." + # Currently only works with HF tokenizers, as the special tokens are added to the tokenizer + special_tokens: + b_include_to_loss_token: ^ + e_include_to_loss_token: $ + e_assistant_token: ° From 0daec5b6ea4c8750ec9047daf204f3d3d8c0345f Mon Sep 17 00:00:00 2001 From: rrutmann Date: Mon, 9 Sep 2024 13:48:34 +0200 Subject: [PATCH 65/70] test(sft): Add documentation for test --- .../test_e2e_instruction_tuning.py | 15 ++++++--------- 1 file changed, 6 insertions(+), 9 deletions(-) diff --git a/tests/instruction_tuning/test_e2e_instruction_tuning.py b/tests/instruction_tuning/test_e2e_instruction_tuning.py index 7ebf1bab..7020284c 100644 --- a/tests/instruction_tuning/test_e2e_instruction_tuning.py +++ b/tests/instruction_tuning/test_e2e_instruction_tuning.py @@ -21,6 +21,7 @@ def test_e2e_instruction_tuning(monkeypatch, tmp_path): dummy_config_path = _ROOT_DIR / Path("tests/config/test_configs/config_sft.yaml") config_dict = load_app_config_dict(dummy_config_path) + # Adapt config for test checkpointing_path = tmp_path / "sft_checkpoints/" config_dict["settings"]["paths"]["checkpointing_path"] = checkpointing_path.__str__() config_dict["checkpoint_saving"]["config"]["checkpoint_saving_execution"]["config"][ @@ -40,12 +41,8 @@ def test_e2e_instruction_tuning(monkeypatch, tmp_path): components = main.build_components(components_model_type=TrainingComponentsInstantiationModel) main.run(components) - assert ( - sum( - [ - "model" in path.name or "optimizer" in path.name or path.suffix == ".yaml" - for path in list(checkpointing_path.glob("*"))[0].glob("*") - ] - ) - == 3 - ), "Output of the test i.e. a model checkpoint was not created!" + checkpoint_files = [ + "model" in path.name or "optimizer" in path.name or path.suffix == ".yaml" + for path in list(checkpointing_path.glob("*"))[0].glob("*") + ] + assert sum(checkpoint_files) == 3, "Output of the test i.e. a model checkpoint was not created!" From 125311f8ee0977eaf58f8d27f84a99793a2201ae Mon Sep 17 00:00:00 2001 From: rrutmann Date: Mon, 9 Sep 2024 13:50:20 +0200 Subject: [PATCH 66/70] chore: Pass black check --- .../collate_fns/collator_fn_wrapper_for_loss_masking.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py b/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py index 01ace6e4..d014b80c 100644 --- a/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py +++ b/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py @@ -146,7 +146,7 @@ def _mask_target( # mark all tokens beween 1 (begin mask token indicator) and -1 (end mask token indicator) with 1 # this includes the -1, but due to the shift above, we exclude both! include_to_loss_mask = mask.cumsum(-1) - + # check that the sequence has alternating start and end mask token indicators starting with a start mask token # we explicitly allow ending on a start mask token if not ((0 <= include_to_loss_mask).all() and (include_to_loss_mask <= 1).all()): From b121eeaad7fc14237c67ee89bef83ecfa624d5e4 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 16 Sep 2024 09:22:33 +0200 Subject: [PATCH 67/70] chore: improve error message and readme --- SFT_README.md | 5 +++-- .../collate_fns/collator_fn_wrapper_for_loss_masking.py | 7 +------ 2 files changed, 4 insertions(+), 8 deletions(-) diff --git a/SFT_README.md b/SFT_README.md index afd807d4..da56aa93 100644 --- a/SFT_README.md +++ b/SFT_README.md @@ -96,11 +96,12 @@ Created JSONL file entry: } ``` -Run the `apply_chat_template` entry point with: +Run the `prepare_instruction_tuning_data` entry point with: ```bash -modalities data apply_chat_template --config_file_path config_files/data_preparation/apply_chat_template_config.yaml +modalities data prepare_instruction_tuning_data --config_file_path config_files/data_preparation/apply_chat_template_config.yaml ``` +# TODO This will create two files 1. The new JSONL file with a new attribute `chat` containing the conversations e.g. `lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.jsonl` 2. The config used to generate the `chat` e.g. `lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml` diff --git a/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py b/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py index d014b80c..6727a82a 100644 --- a/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py +++ b/src/modalities/dataloader/collate_fns/collator_fn_wrapper_for_loss_masking.py @@ -124,14 +124,9 @@ def _mask_target( ValueError: If the end mask token indicator is before the begin mask token indicator in the target tensor. ValueError: If the masking tokens are not alternating in the target tensor. """ - error_msg = "" if b_mask_token_id not in target: - error_msg += "b_mask_token_id not found in target." - if e_mask_token_id not in target: - error_msg += "e_mask_token_id not found in target." - if error_msg: raise ValueError( - f"{error_msg} in masking tokens for loss computation. " + "b_mask_token_id not found in target. in masking tokens for loss computation. " + "Make sure the tokenizer tokenizes as expected. " + "Frequent source of error is the tokenization of spaces: " + "e.g. ' ' and '' are different tokens." From 396aba5e006a532f6aa58de884e11c0525197ac4 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 16 Sep 2024 10:59:28 +0200 Subject: [PATCH 68/70] chore: Update SFT_README.md --- SFT_README.md | 105 +++++++++++------- .../apply_chat_template_config.yaml | 6 +- .../packed_chat_dataset_config.yaml | 6 +- 3 files changed, 72 insertions(+), 45 deletions(-) diff --git a/SFT_README.md b/SFT_README.md index da56aa93..05619691 100644 --- a/SFT_README.md +++ b/SFT_README.md @@ -13,13 +13,15 @@ For example, we only calculate the loss for the words not struck-trough: > ~~You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^~~The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n°~~$User1: Thank you for the advice.\nAssistant:^~~You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n°~~$~~ -### Create Prompts from Conversations -To prepare the instruction-tuning data we created a new entry point `apply_chat_template`, which requires a [configuration file](./config_files/data_preparation/apply_chat_template_config.yaml). Within it we define: -* the path to instruction-tuning dataset as a JSONL file wereas each line contains a structured conversation as an array of dictionaries. +### Overview + +To prepare the instruction-tuning data we created a new entry point `prepare_instruction_tuning_data`, which requires a [configuration file](./config_files/data_preparation/apply_chat_template_config.yaml). Within it we define: +* The path to instruction-tuning dataset as a JSONL file wereas each line contains a structured conversation as an array of dictionaries (configured by the yaml entry: `conversations_key: conversations`). * A [jinja2](https://jinja.palletsprojects.com/en/3.1.x/) chat template which defines the rules how to glue `chat_template_data` and the data within the JSONL together to one `chat` string. + * As part of the `chat_template_data`, we require the special tokens `b_include_to_loss_token` and `e_include_to_loss_token`. +* Information how to split the created dataset -As part of the `chat_template_data`, we require the special tokens `b_include_to_loss_token` and `e_include_to_loss_token`. -To prepare the instruction-tuning data we created a new entry point `apply_chat_template`, which requires a [configuration file](./config_files/data_preparation/apply_chat_template_config.yaml). Within it we define the path to instruction-tuning dataset as a JSONL file, in which each line contains a structured conversation as an array of dictionaries. +> Note: The special tokens `b_include_to_loss_token` and `e_include_to_loss_token` should be tokens already present in the tokenizers vocabulary. They will be marked as special tokens for correct tokenization and loss masking. Once resizing the embedding matrix is supported, this is not necessary anymore. ##### Example @@ -54,6 +56,13 @@ settings: src_path: data/lorem_ipsum_sft.jsonl dst_path: data/lorem_ipsum_sft_converted.jsonl conversations_key: conversations + pbin_creation_config_file_path: config_files/data_preparation/packed_chat_dataset_config.yaml + split_config: + splitting: + train: 70 + val: 15 + test: 15 + seed: 1234 instruction_data_transformation: role_mapping: @@ -61,13 +70,32 @@ instruction_data_transformation: human_2: User2 gpt: Assistant -... - +# The b_include_to_loss_token, e_include_to_loss_token are required to be part of each chat template for proper loss masking! +jinja2_chat_template: | + {{ chat_template_data.system_instruction + '\n' }} + {% for turn in conversation %} + {{ turn.from + ':' }} + {% if turn.from == chat_template_data.assistant_role %} + {{ chat_template_data.special_tokens.b_include_to_loss_token}} + {% else %} + {{ " " }} + {% endif %} + {{ turn.value + '\n'}} + {% if turn.from == chat_template_data.assistant_role %} + {{ chat_template_data.special_tokens.e_assistant_token}} + {{ chat_template_data.special_tokens.e_include_to_loss_token}} + {% endif %} + {% endfor %} + +# The key-value pairs of chat_template_data are passed to the Jinja2 template and +# are not type checked for full compliance with the chat tempalate! chat_template_data: - ... + assistant_role: Assistant + system_instruction: "You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages." special_tokens: b_include_to_loss_token: ^ e_include_to_loss_token: $ + e_assistant_token: ° ``` Created JSONL file entry: @@ -96,43 +124,42 @@ Created JSONL file entry: } ``` +### Prepare Instruction-tuning Data + Run the `prepare_instruction_tuning_data` entry point with: ```bash modalities data prepare_instruction_tuning_data --config_file_path config_files/data_preparation/apply_chat_template_config.yaml ``` -# TODO -This will create two files -1. The new JSONL file with a new attribute `chat` containing the conversations e.g. `lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.jsonl` -2. The config used to generate the `chat` e.g. `lorem_ipsum_sft_40e0699/sft_chat_template_config.40e0699.yaml` - -> Both files names contain the first 7 symbols of the hash of the config file, to group files which belong together! -> Also, a new directory with the original dataset file name and the hash in it its name is created. - -### Create idx and pbin files -Before continuing with the instruction-tuning you need to index the created JSONL and convert it to a tokenized binary file. +This will create / copy the following files: -> Make sure to use the same hash for correct grouping when defining the output file names! - -For example: -```bash -# create idx file -modalities data create_raw_index --index_path data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.idx data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.jsonl - -# create pbin file -modalities data pack_encoded_data --config_file_path config_files/data_preparation/packed_chat_dataset_config.yaml ``` + lorem_ipsum_sft_09ca9ed/ + ├── lorem_ipsum_sft_converted_test.09ca9ed.idx + ├── lorem_ipsum_sft_converted_test.09ca9ed.jsonl + ├── lorem_ipsum_sft_converted_test.09ca9ed.pbin + ├── lorem_ipsum_sft_converted_train.09ca9ed.idx + ├── lorem_ipsum_sft_converted_train.09ca9ed.jsonl + ├── lorem_ipsum_sft_converted_train.09ca9ed.pbin + ├── lorem_ipsum_sft_converted_val.09ca9ed.idx + ├── lorem_ipsum_sft_converted_val.09ca9ed.jsonl + ├── lorem_ipsum_sft_converted_val.09ca9ed.pbin + ├── pbin_config_test.09ca9ed.yaml + ├── pbin_config_train.09ca9ed.yaml + ├── pbin_config_val.09ca9ed.yaml + └── sft_chat_template_config.09ca9ed.yaml +``` + +All files names contain the first 7 symbols of the hash of the config file, to group files which belong together! +Also, a new directory with the original dataset file name and the hash in it its name is created. -> The [packed_chat_dataset_config.yaml](config_files/data_preparation/packed_chat_dataset_config.yaml) must use truncation and padding! +1. The JSONLs files with a new attribute `chat` containing the conversations, split into train, test, val e.g. `lorem_ipsum_sft_converted_train.09ca9ed.jsonl` +2. The config used to generate the `chat` e.g. `sft_chat_template_config.09ca9ed.yaml` +3. The idx and pbin files for each dataset partition e.g. `lorem_ipsum_sft_converted_train.09ca9ed.idx` and `lorem_ipsum_sft_converted_train.09ca9ed.pbin` +4. The config file used to create the pbin files. For each partition, only the `src_path`, `index_path` and `dst_path` are replaced automatically, the rest remains as in the original pbin creation config file, as pointed to within `config_files/data_preparation/apply_chat_template_config.yaml`: `pbin_creation_config_file_path: config_files/data_preparation/packed_chat_dataset_config.yaml` -In summary, the automatically created folder for all files related to the instruction-tuning data, should look as follows (the hash value might be different depending on your intial apply chat template configuration file): +> Note: The [packed_chat_dataset_config.yaml](config_files/data_preparation/packed_chat_dataset_config.yaml) must use truncation and padding! -> lorem_ipsum_sft_40e0699 -> ├── lorem_ipsum_sft_converted.40e0699.idx -> ├── lorem_ipsum_sft_converted.40e0699.jsonl -> ├── lorem_ipsum_sft_converted.40e0699.pbin -> ├── packed_chat_dataset_config.40e0699.yaml -> └── sft_chat_template_config.40e0699.yaml ### Instruction-Tuning @@ -140,7 +167,7 @@ With your prepared instruction-tuning data as pbin file, you can now instruction Make sure to use the wrapped collate function. -* You need to look up the `b_include_to_loss_token` and `e_include_to_loss_token` as defined within your `sft_chat_template_config.40e0699.yaml`. If configured the pbin creation correctly, you only need to check for matching hash suffixes. +* You need to look up the `b_include_to_loss_token` and `e_include_to_loss_token` as defined within your `sft_chat_template_config.09ca9ed.yaml`. * Set the `loss_ignore_index` which gets ignored by your loss function. In torch this is usually -100. * We need a tokenizer to tokenize the `b_include_to_loss_token` and `e_include_to_loss_token` * We need to not re-use the last token @@ -175,7 +202,7 @@ train_dataset: component_key: dataset variant_key: packed_mem_map_dataset_continuous config: - raw_data_path: ./data/lorem_ipsum_sft_40e0699/lorem_ipsum_sft_converted.40e0699.pbin + raw_data_path: ./data/lorem_ipsum_sft_09ca9ed/lorem_ipsum_sft_converted_train.09ca9ed.pbin sequence_length: ${settings.training.sequence_length} sample_key: ${settings.referencing_keys.sample_key} reuse_last_target: true @@ -195,8 +222,8 @@ tokenizer: special_tokens: pad_token: ${settings.eod_token} additional_special_tokens: - - "^" - - "$" + - ^ + - $ ``` Finally, run the instruction-tuning with the `run` entry point: diff --git a/config_files/data_preparation/apply_chat_template_config.yaml b/config_files/data_preparation/apply_chat_template_config.yaml index b1bfaced..bfd26f9c 100644 --- a/config_files/data_preparation/apply_chat_template_config.yaml +++ b/config_files/data_preparation/apply_chat_template_config.yaml @@ -5,9 +5,9 @@ settings: pbin_creation_config_file_path: config_files/data_preparation/packed_chat_dataset_config.yaml split_config: splitting: - train: 80 - val: 10 - test: 10 + train: 70 + val: 15 + test: 15 seed: 1234 instruction_data_transformation: diff --git a/config_files/data_preparation/packed_chat_dataset_config.yaml b/config_files/data_preparation/packed_chat_dataset_config.yaml index 9df71fc8..104e4c34 100644 --- a/config_files/data_preparation/packed_chat_dataset_config.yaml +++ b/config_files/data_preparation/packed_chat_dataset_config.yaml @@ -21,6 +21,6 @@ tokenizer: special_tokens: pad_token: ${settings.eod_token} additional_special_tokens: - - "^" - - "$" - - "°" + - ^ + - $ + - ° From 8416c9dffafd9432182043560540f1b00d2e7b11 Mon Sep 17 00:00:00 2001 From: Alexander Weber Date: Mon, 16 Sep 2024 11:22:39 +0200 Subject: [PATCH 69/70] Update SFT_README.md --- SFT_README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/SFT_README.md b/SFT_README.md index 05619691..b1bc5d88 100644 --- a/SFT_README.md +++ b/SFT_README.md @@ -11,7 +11,11 @@ Specifically, we need the model to only learn to act as the assistant. Hence, we For example, we only calculate the loss for the words not struck-trough: -> ~~You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^~~The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n°~~$User1: Thank you for the advice.\nAssistant:^~~You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n°~~$~~ +> ~~You are Mody, a helpful assistant trained by the modalities team. Answer friendly and informatively to the user's messages.\nUser1: What is the best way to learn a new language?\nAssistant:^~~ +> The best way to learn a new language is to practice regularly, immerse yourself in the language, and use a variety of resources like books, apps, and language classes. It's also helpful to practice with native speakers.\n° +> ~~$User1: Thank you for the advice.\nAssistant:^~~ +> You're welcome! Learning a new language can be a rewarding experience. If you have any more questions, feel free to ask.\n° +> ~~$~~ ### Overview From eb658c97ec876688e936f5a03450a677d277abc5 Mon Sep 17 00:00:00 2001 From: davidkaczer Date: Mon, 4 Nov 2024 13:40:31 +0100 Subject: [PATCH 70/70] test: fix failing sft e2e test --- tests/config/test_configs/config_sft.yaml | 95 +++++++++++-------- .../test_e2e_instruction_tuning.py | 4 +- 2 files changed, 55 insertions(+), 44 deletions(-) diff --git a/tests/config/test_configs/config_sft.yaml b/tests/config/test_configs/config_sft.yaml index 7177fcd0..55e23d59 100644 --- a/tests/config/test_configs/config_sft.yaml +++ b/tests/config/test_configs/config_sft.yaml @@ -1,24 +1,54 @@ -settings: +settings: experiment_id: ${modalities_env:experiment_id} config_file_path: ${modalities_env:config_file_path} referencing_keys: sample_key: input_ids target_key: target_ids - training: - training_log_interval_in_steps: 2 - checkpointing_interval_in_steps: 2 - evaluation_interval_in_steps: 2 - global_num_seen_tokens: 0 - activation_checkpointing_modules: [GPT2Block] - gradient_acc_steps: 2 - local_train_micro_batch_size: 1 - sequence_length: 2048 + prediction_key: logits cuda_env: local_rank: ${cuda_env:LOCAL_RANK} global_rank: ${cuda_env:RANK} world_size: ${cuda_env:WORLD_SIZE} paths: - checkpointing_path: data/checkpoints + checkpoint_saving_path: data/checkpoints + train_dataset_path: ./data/lorem_ipsum.pbin + intervals: + training_log_interval_in_steps: 2 + checkpointing_interval_in_steps: 2 + evaluation_interval_in_steps: 2 + consistency_enforcement: + enforce_tokens_per_step_consistency: true + enforce_last_step_logged: false + enforce_last_step_evaluated: false + enforce_last_step_checkpointed: false + step_profile: + gradient_accumulation_steps: 2 + local_train_micro_batch_size: 1 + sequence_length: 2048 + training_target: + num_target_tokens: + component_key: number_conversion + variant_key: num_tokens_from_packed_mem_map_dataset_continuous + config: + dataset_path: ${settings.paths.train_dataset_path} + sequence_length: ${settings.step_profile.sequence_length} + num_ranks: ${settings.cuda_env.world_size} + local_micro_batch_size: ${settings.step_profile.local_train_micro_batch_size} + gradient_accumulation_steps: ${settings.step_profile.gradient_accumulation_steps} + num_target_steps: # for the batch progress subscriber + component_key: number_conversion + variant_key: num_steps_from_num_tokens + config: + num_ranks: ${settings.cuda_env.world_size} + local_micro_batch_size: ${settings.step_profile.local_train_micro_batch_size} + global_num_tokens: ${settings.training_target.num_target_tokens} + sequence_length: ${settings.step_profile.sequence_length} + gradient_accumulation_steps: ${settings.step_profile.gradient_accumulation_steps} + training_progress: + global_num_seen_tokens: 0 + num_seen_steps: 0 + local_num_seen_batches: 0 + last_step: -1 collate_fn: component_key: collate_fn @@ -44,8 +74,8 @@ train_dataset: component_key: dataset variant_key: packed_mem_map_dataset_continuous config: - raw_data_path: ./tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_test.7e71e5e.pbin - sequence_length: ${settings.training.sequence_length} + raw_data_path: ./tests/test_data/lorem_ipsum_sft_7e71e5e/lorem_ipsum_sft_converted_train.7e71e5e.pbin + sequence_length: ${settings.step_profile.sequence_length} sample_key: ${settings.referencing_keys.sample_key} reuse_last_target: false @@ -55,7 +85,6 @@ train_dataloader: config: num_workers: 2 pin_memory: true - shuffle: false dataloader_tag: train dataset: instance_key: train_dataset @@ -64,7 +93,7 @@ train_dataloader: component_key: batch_sampler variant_key: default config: - batch_size: ${settings.training.local_train_micro_batch_size} + batch_size: ${settings.step_profile.local_train_micro_batch_size} drop_last: true sampler: component_key: sampler @@ -86,7 +115,6 @@ val_dataloader: config: num_workers: 2 pin_memory: true - shuffle: false dataloader_tag: "val" dataset: instance_key: train_dataset @@ -117,7 +145,6 @@ test_dataloader: config: num_workers: 2 pin_memory: true - shuffle: false dataloader_tag: "test" dataset: instance_key: train_dataset @@ -161,16 +188,9 @@ checkpoint_saving: component_key: checkpoint_saving_execution variant_key: fsdp config: - checkpoint_path: ${settings.paths.checkpointing_path} + checkpoint_path: ${settings.paths.checkpoint_saving_path} global_rank: ${settings.cuda_env.global_rank} experiment_id: ${settings.experiment_id} - get_num_tokens_from_num_steps_callable: - component_key: number_conversion - variant_key: num_tokens_from_num_steps_callable - config: - num_ranks: ${settings.cuda_env.world_size} - local_micro_batch_size: ${settings.training.local_train_micro_batch_size} - sequence_length: ${settings.training.sequence_length} # resolving class types via different enums sucks... loss_fn: @@ -215,7 +235,7 @@ model_raw: config: sample_key: ${settings.referencing_keys.sample_key} poe_type: NOPE - sequence_length: ${settings.training.sequence_length} + sequence_length: ${settings.step_profile.sequence_length} prediction_key: ${loss_fn.config.prediction_key} vocab_size: 50304 # GPT-2 vocab_size of 50257, padded up to nearest multiple of 64 for efficiency n_layer: 2 @@ -306,26 +326,17 @@ gradient_clipper: norm_type: P2_NORM max_norm: 1.0 -batch_progress_subscriber: +progress_subscriber: component_key: progress_subscriber variant_key: rich config: global_rank: ${settings.cuda_env.global_rank} - global_num_seen_steps: - component_key: number_conversion - variant_key: num_steps_from_num_tokens - config: - num_ranks: ${settings.cuda_env.world_size} - local_micro_batch_size: ${settings.training.local_train_micro_batch_size} - global_num_tokens: ${settings.training.global_num_seen_tokens} - sequence_length: ${settings.training.sequence_length} - gradient_acc_steps: ${settings.training.gradient_acc_steps} - train_dataloader: - instance_key: train_dataloader - pass_type: BY_REFERENCE + num_seen_steps: ${settings.training_progress.num_seen_steps} + num_target_steps: ${settings.training_target.num_target_steps} + train_dataloader_tag: ${train_dataloader.config.dataloader_tag} eval_dataloaders: - instance_key: eval_dataloaders - pass_type: BY_REFERENCE + instance_key: eval_dataloaders + pass_type: BY_REFERENCE evaluation_subscriber: component_key: results_subscriber @@ -335,5 +346,5 @@ evaluation_subscriber: project: modalities_lorem_ipsum mode: OFFLINE experiment_id: ${settings.experiment_id} - directory: "." + directory: wandb_storage config_file_path: ${settings.config_file_path} diff --git a/tests/instruction_tuning/test_e2e_instruction_tuning.py b/tests/instruction_tuning/test_e2e_instruction_tuning.py index 7020284c..2d63f05c 100644 --- a/tests/instruction_tuning/test_e2e_instruction_tuning.py +++ b/tests/instruction_tuning/test_e2e_instruction_tuning.py @@ -23,7 +23,7 @@ def test_e2e_instruction_tuning(monkeypatch, tmp_path): # Adapt config for test checkpointing_path = tmp_path / "sft_checkpoints/" - config_dict["settings"]["paths"]["checkpointing_path"] = checkpointing_path.__str__() + config_dict["settings"]["paths"]["checkpoint_saving_path"] = checkpointing_path.__str__() config_dict["checkpoint_saving"]["config"]["checkpoint_saving_execution"]["config"][ "checkpoint_path" ] = checkpointing_path.__str__() @@ -45,4 +45,4 @@ def test_e2e_instruction_tuning(monkeypatch, tmp_path): "model" in path.name or "optimizer" in path.name or path.suffix == ".yaml" for path in list(checkpointing_path.glob("*"))[0].glob("*") ] - assert sum(checkpoint_files) == 3, "Output of the test i.e. a model checkpoint was not created!" + assert sum(checkpoint_files) == 1, "Output of the test i.e. a model checkpoint was not created!"