* feat: add config for optional parameters in a chat message * chore: cleanup * chore: fix nits and add light docs * docs: update docs/dataset-formats/conversation.qmd Co-authored-by: NanoCode012 <kevinvong@rocketmail.com> * feat: configurable message mappings, jinja template analyzer * chore: handle bradley terry * docs: update docs * refactor: change order of mappings, improve message transform * refactor: make chat awware of property mappings * chore: remove .python-version * chore: revert change * chore: add dataset validation to tests where appropriate * chore: add dataset validation to tests where appropriate * chore: clean up handling of ds_cfg * chore: recursively serialize config * make sure to use the return value from validate_config * DefaultDict pickle/unpickle fix * fix super call for override * refactor: message fields * chore: empty commit * tests: validate config before using * chore: add config validation to all e2e tests * chore: add unneeded logging * chore: add missed config validation * chore: pass field_messages to prompter * test: fix borked test * chore: remove uninteded file * chore: add deprecation warning and update chat_datasets script * chore: lint * refactor: message fields * feat: update axolotlinputconfig and test_models - add configdict import in axolotl/utils/config/models/input/v0_4_1/__init__.py - remove unnecessary line breaks in sftdataset, dpodataset, ktodataset, stepwisesuperviseddataset classes - update model_dump method in axolotlinputconfig to exclude none values - correct typo in test_models.py comment * feat: simplify dpodataset and ktodataset classes in config models removed several optional fields from dpodataset and ktodataset classes in axolotl/utils/config/models/input/v0_4_1. this simplifies the configuration subsets for these datasets. * feat: improve readability and structure in dataset configuration models this commit enhances the readability and structure of the dataset configuration models in the `axolotl/utils/config/models/input/v0_4_1` module. it removes unused `configdict` import and adds line breaks to separate class definitions for better clarity. additionally, a minor documentation fix is included to ensure a newline at the end of the `stepwise_supervised.qmd` file. * feat: change log level from info to debug in chattemplatestrategy * feat(prompt_strategies): refactor chattemplateprompter and chattemplatestrategy - Make `chat_template` a required parameter in `ChatTemplatePrompter` constructor - Add default value for `message_property_mappings` in `ChatTemplatePrompter` constructor - Add `messages_array_name` property to `ChatTemplatePrompter` - Change `processor` type to Optional in `ChatTemplatePrompter` - Add TypeError check for `processor` in `ChatTemplatePrompter.build_prompt` - Remove `_messages` property from `ChatTemplateStrategy` - Make `prompter` a required parameter and add type hint in `ChatTemplateStrategy` constructor - Remove `messages` getter and setter from `ChatTemplateStrategy` - Use `prompter.messages_array_name` in `ChatTemplateStrategy.get_conversation_thread` - Remove condition to set `messages` field in `load` function * feat(tests/utils): ignore type check in load_model call in test_models.py * feat: improve type handling and test structure in chat templates - Add return type hint for `get_chat_template` function in `chat_templates.py` - Remove unnecessary assignment of `strategy.messages` in several test cases - Add `messages_array_name` parameter to various test configurations in `test_chat_templates.py` and `test_chat_templates_advanced.py` - Remove redundant `strategy.messages` assignment in `test_chat_templates_advanced.py` * feat(axolotl): enhance chat strategy with datasetconfig support This commit introduces support for DatasetConfig in the ChatTemplateStrategy. It also refines the strategy loader to handle different types of ds_cfg inputs and improves the clarity of the code by formatting and reordering. The key changes include: - Importing Union from typing and BaseModel from pydantic. - Adding DatasetConfig as an optional type for ds_cfg in StrategyLoader. - Adjusting the handling of ds_cfg in StrategyLoader to account for BaseModel instances. - Refactoring the prompter_params and strategy_params for better readability. - Changing the reference from prompt[self.messages] to prompt[self.prompter.messages_array_name] in the is_prompt_batched method. * feat: update message handling in btchattemplatestrategy * Replace `self.messages` with direct string references to "chosen_messages" and "rejected_messages" * Append system, user, and assistant content directly to "chosen_messages" and "rejected_messages" * Add a new attribute "messages_array_name" to the `load` function parameters * Remove the conditional attribute assignment for "field_messages" in the `load` function * feat: add config validation in test_kd.py - Import `validate_config` from `axolotl.utils.config` - Validate the configuration in `test_llama_kd` and another function in `TestKnowledgeDistillation` class * feat: enhance config validation and capabilities handling * Import `EnvCapabilities` and `GPUCapabilities` from `axolotl.utils.config.models.internals` * Update `validate_config` function to create `KTODataset` and `SFTDataset` instances using `dict(ds_cfg)` * Replace `capabilities` and `env_capabilities` with instances of `GPUCapabilities` and `EnvCapabilities` respectively in `AxolotlConfigWCapabilities` model dump * feat: update config validation in axolotl utils - Remove import of `EnvCapabilities` and `GPUCapabilities` from `axolotl.utils.config.models.internals` - Update `validate_config` function to use `capabilities` and `env_capabilities` directly instead of creating new instances of `GPUCapabilities` and `EnvCapabilities` * feat: refactor strategyloader in chat_template.py - Extracted the creation of strategy parameters into a separate function, `_get_strategy_params(cfg, dataset_config)` - Created a new function, `_get_strategy_cls()`, to obtain the strategy class - Replaced `ChatTemplateStrategy` with `strategy_cls` for strategy instantiation * trigger CI * chore: revert dataset config changes for kto/dpo * subject: refactor: rename 'messages_array_name' to 'field_messages' Body: - Renamed 'messages_array_name' to 'field_messages' in 'ChatTemplatePrompter' class and its usages in 'chat_template.py' - Updated 'load' function in 'bradley_terry/chat_template.py' to reflect the change - Adjusted 'get_chat_template_msg_variables' and 'get_message_vars' methods in 'jinja_template_analyzer.py' to use the new variable name - Modified 'StrategyLoader' in 'chat_template.py' to use 'field_messages' - Updated tests in 'test_chat_templates.py' and 'test_chat_templates_advanced.py' to use 'field_messages' instead of 'messages_array_name' * feat: refactor prompt strategies and update config models * Remove redundant 'return None' in `axolotl/prompt_strategies/__init__.py` * Simplify message handling in `axolotl/prompt_strategies/bradley_terry/chat_template.py` by using a single 'messages' list instead of separate 'chosen_messages' and 'rejected_messages' lists * Update default 'message_property_mappings' in `axolotl/prompt_strategies/bradley_terry/chat_template.py` * Add 'field_messages' field to `axolotl/utils/config/models/input/v0_4_1/__init__.py` configuration model * chore: remove unused input * chore: remove redundant type ignore * fix: remove old configs and update examples * fix: type check * fix: remove loading old config in ChatMessage * fix: update faq with potential new undefinederror * fix: add debug if property mapped is not found * chore: improve explanation for unmapped properties * fix: update docs with new config * chore: add note for deprecation config and del old config from dict --------- Co-authored-by: NanoCode012 <kevinvong@rocketmail.com> Co-authored-by: Wing Lian <wing@axolotl.ai> Co-authored-by: NanoCode012 <nano@axolotl.ai>
95 lines
3.2 KiB
Python
95 lines
3.2 KiB
Python
"""
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DPO prompt strategies for using tokenizer chat templates.
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"""
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from axolotl.utils.chat_templates import extract_chat_template_args, get_chat_template
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from axolotl.utils.config.models.input.v0_4_1 import handle_legacy_message_fields_logic
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def default(
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cfg, dataset_idx=0, **kwargs
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): # pylint: disable=possibly-unused-variable,unused-argument
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ds_cfg = cfg["datasets"][dataset_idx]
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ds_cfg = handle_legacy_message_fields_logic(ds_cfg)
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chat_template_choice, chat_template_jinja = extract_chat_template_args(
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cfg=cfg, ds_cfg=ds_cfg
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)
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field_messages = ds_cfg.get("field_messages", "messages")
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field_chosen = ds_cfg.get("field_chosen", "chosen")
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field_rejected = ds_cfg.get("field_rejected", "rejected")
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message_property_mappings = ds_cfg.get(
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"message_property_mappings",
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{
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"role": "role",
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"content": "content",
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},
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)
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role_map_inv = ds_cfg.get(
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"roles",
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{
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"user": ["user"],
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"assistant": ["assistant"],
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"system": ["system"],
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},
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)
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role_map = {}
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for target, sources in role_map_inv.items():
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for source in sources:
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role_map[source] = target
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def transform_fn(sample, tokenizer=None):
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chat_template_string = get_chat_template(
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user_choice=chat_template_choice,
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jinja_template=chat_template_jinja,
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tokenizer=tokenizer,
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)
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messages = sample[field_messages]
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messages = [
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{
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"role": role_map[m[message_property_mappings["role"]]],
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"content": m[message_property_mappings["content"]],
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}
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for m in messages
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]
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chosen = {
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"role": role_map[sample[field_chosen][message_property_mappings["role"]]],
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"content": sample[field_chosen][message_property_mappings["content"]],
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}
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rejected = {
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"role": role_map[sample[field_rejected][message_property_mappings["role"]]],
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"content": sample[field_rejected][message_property_mappings["content"]],
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}
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dummy_user_message = {"role": "user", "content": "[[dummy_message]]"}
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result = {}
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result["prompt"] = tokenizer.apply_chat_template(
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messages,
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add_generation_prompt=True,
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chat_template=chat_template_string,
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tokenize=False,
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)
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result["chosen"] = tokenizer.apply_chat_template(
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[dummy_user_message, chosen],
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add_generation_prompt=False,
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chat_template=chat_template_string,
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tokenize=False,
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)
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chosen_strip_index = result["chosen"].find(chosen["content"])
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result["chosen"] = result["chosen"][chosen_strip_index:].rstrip()
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result["rejected"] = tokenizer.apply_chat_template(
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[dummy_user_message, rejected],
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add_generation_prompt=False,
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chat_template=chat_template_string,
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tokenize=False,
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)
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rejected_strip_index = result["rejected"].find(rejected["content"])
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result["rejected"] = result["rejected"][rejected_strip_index:].rstrip()
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return result
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return transform_fn
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