RDAgent Finetune LLM #1314
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RDAgent Finetune LLM #1314
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* feat: add iterative evolve and evaluation support with partial chain stop * feat: add FTDataEvaluator and support multiple implement functions in finetune
…1303) * feat:(1) support for multi layer dataset extraction (2) add category.json for dataset in datasets/ * fix: fix bug for generate category.json * feat: add get_dataset_folder_desc * init data proposal and merge qzli/ft * update data proposal prompts and add max_position_embeddings and resolve confilcts * remove sample counts in data proposal * turn data and train to unified hypo_gen * refine prompts * remove category.json and add it to dataset_info * fix jinja problem and proposal done * lint * add ai-generated description and raw readme into dataset_info.json * update prompt for description * add datasets * initial fix for proposal of data * final version for data proposal * lint
* refactor(dataset): add stats into dataset_info.json, and remove dataset from gitignore_folder * feat: enable data coder and run data process
* feat: implement finetune data coding, evaluation, and config improvements * fix: deepspeed config path * fix: dataset info columns --------- Co-authored-by: Young <[email protected]>
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📚 Documentation preview 📚: https://RDAgent--1314.org.readthedocs.build/en/1314/