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BharatSahAIyak / autotune

A comprehensive toolkit for seamless data generation and fine-tuning of NLP models, all conveniently packed into a single block.
MIT License
9 stars 5 forks source link

feat: bge/embedding models fine-tuning addition #140

Closed kartikbhtt7 closed 2 months ago

kartikbhtt7 commented 3 months ago

Summary by CodeRabbit

coderabbitai[bot] commented 3 months ago
Walkthrough ## Walkthrough The recent updates enhance the project's functionality and adaptability in handling machine learning tasks, particularly focusing on embedding fine-tuning. Key changes include upgrading dependencies, introducing a new `EmbeddingFineTuning` class for managing fine-tuning tasks, and refining task management logic throughout various modules. These enhancements improve the handling of datasets, model training, and evaluation processes. ## Changes | Files | Change Summary | |---------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | `pyproject.toml` | Upgraded `accelerate` from `^0.27.2` to `^0.33.0`, removed `ragatouille`, and added new dependencies (`sentence-transformers`, `catalogue`, etc.) for enhanced functionality and performance. | | `workflow/mixins.py`, `workflow/training/train.py` | Expanded the `dispatch` method to include support for `"embedding_finetuning"` in addition to `"whisper_finetuning"` and modified the `upload_cache` function to exclude both tasks from caching operations. | | `workflow/serializers.py` | Added an optional `guide_model` field to the `ModelDataSerializer` class to capture guide model names for embedding fine-tuning tasks. | | `workflow/training/embedding_finetuning.py` | Introduced a new `EmbeddingFineTuning` class for fine-tuning sentence embedding models, incorporating dataset loading, preparation, training arguments, and model hub uploading functionalities. | | `workflow/training/onnx_conversion.py` | Updated the `convert_to_onnx` function to rename tasks from `"embedding"` to `"embedding_finetuning"`, refining task specificity for fine-tuning operations. | | `workflow/training/utils.py` | Added support for "embedding_finetuning" in the `get_task_class` and `get_model_class` functions, enhancing task recognition and model retrieval capabilities. | | `workflow/utils.py` | Introduced new task configuration and mapping for "embedding_finetuning" in the `get_task_config` and `get_task_mapping` functions, allowing structured management of the associated tasks and data. |

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Recent review details **Configuration used: CodeRabbit UI** **Review profile: CHILL**
Commits Files that changed from the base of the PR and between faa3fea47ffe3429ccdfe8d24880cc23a15c0bfb and b902a4357a10cf8244772d36cb282be0f10c661b.
Files selected for processing (1) * workflow/training/embedding_finetuning.py (1 hunks)
Additional comments not posted (6)
workflow/training/embedding_finetuning.py (6)
`12-15`: **LGTM!** The code changes are approved. --- `17-33`: **LGTM!** The code changes are approved. --- `35-38`: **LGTM!** The code changes are approved. --- `40-50`: **LGTM!** The code changes are approved. --- `67-83`: **LGTM!** The code changes are approved. --- `85-88`: **LGTM!** The code changes are approved.
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