Add CPOTrainer#1382
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@fe1ixxu how close is the trainer in terms of code to the DPOTrainer? Can one subclass from it? |
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@kashif Thanks for the quick response! CPO is an approximation of DPO. The key differences between CPOTrainer and DPOTrainer are:
I'm uncertain whether subclassing CPOTrainer from DPOTrainer is a proper idea, as DPOTrainer introduces numerous features related to reference models that are unnecessary for CPOTrainer. |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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Hi @kashif CPO docs has been finished now! Thanks! |
kashif
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Mar 17, 2024
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lewtun
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Mar 21, 2024
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
Because CPO does not need init for reference model
lapp0
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May 10, 2024
* add CPOTrainer * add docs * fix formatting * removed precompute_ref_log_probs arg * remove precompute_ref_log_probs * typos * finish cpo trainer doc * remove redundant lines * typo * formatting * compute chosen nll loss also for enc-dec models * fix gradient error of inplace operation for enc-dec models * formatting * use CPOConfig * formatting * use model_init_kwargs from CPOConfig * comments in example * fix doc string * fix typo in docstring * update year * fixed typo * use preference dataset * fix learning rate * move dataset_num_proc to configs * Update cpo paper link from HF: cpo_trainer.mdx Co-authored-by: lewtun <lewis.c.tunstall@gmail.com> * update description for CPO: cpo_trainer.mdx Co-authored-by: lewtun <lewis.c.tunstall@gmail.com> * remove _prepare_deepspeed for cpo Because CPO does not need init for reference model * Add explanation to CPO loss * format * fix bug when lengths are given * add CPOTrainer to README * fix grammer --------- Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
yxliu-TAMU
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Apr 20, 2025
* add CPOTrainer * add docs * fix formatting * removed precompute_ref_log_probs arg * remove precompute_ref_log_probs * typos * finish cpo trainer doc * remove redundant lines * typo * formatting * compute chosen nll loss also for enc-dec models * fix gradient error of inplace operation for enc-dec models * formatting * use CPOConfig * formatting * use model_init_kwargs from CPOConfig * comments in example * fix doc string * fix typo in docstring * update year * fixed typo * use preference dataset * fix learning rate * move dataset_num_proc to configs * Update cpo paper link from HF: cpo_trainer.mdx Co-authored-by: lewtun <lewis.c.tunstall@gmail.com> * update description for CPO: cpo_trainer.mdx Co-authored-by: lewtun <lewis.c.tunstall@gmail.com> * remove _prepare_deepspeed for cpo Because CPO does not need init for reference model * Add explanation to CPO loss * format * fix bug when lengths are given * add CPOTrainer to README * fix grammer --------- Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
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Hi! This PR wants to add CPOTrainer proposed in the paper Contrastive Preference Optimization: Pushing the Boundaries of LLM
Performance in Machine Translation
The CPO method is one of the algorithm for building the state-of-the-art LLM-based translation model: ALMA