GitLab

* [misc] update pre-commit

* [misc] run pre-commit

* [misc] remove useless configuration files

* [misc] ignore cuda for clang-format

* to: add SLTrainer

* refactor: refactor RMTrainer and SFTTrainer

* fix: fix init file

* feat: remove on_learn_epoch fn as not used

* fix: align with modified gemini arguments

* to: add OnPolicyTrainer

* revert: add _on_learn_epoch fn

* refactor: refactor PPOTrainer

* style: rename PPOTrainer argument

* fix: align with modified PPO arguments

* test: align with modified train_prompts arguments

* chore: modify train_prompts

* docs: align with modified arguments

* fix: remove unnecessary output

* fix: move dataloader to fit fn of SLTrainer

* fix: move dataloader to fit fn of OnPolicyTrainer

* fix: modify usage of prompt and pretrain dataloader

* refactor: adapt boost API in base and naive strategies

* fix: initialize plugin after setup_distributed

* fix: fix save_pretrained fn

* refactor: adapt boost API in DDPStrategy

* to: add _post_init check

* to: fix ddp backward, modify ddp dataloader and unwrap

* feat: adapt boost API in ColossalAIStrategy

* fix: call setup_distributed before use get_current_device

* fix: fix save_model and save_optimizer

* test: remove save_sharded_optimizer test

* style: apply formatter

* fix: fix stage check and add comments

* feat: allow dict type arg in strategy.prepare

* to: temporarily remove lr_scheduler for testing

* style: simplify init of ColossalAIStrategy

* fix: fix lr_scheduler in sft and rm

* style: modify comments

* test: add train_prompts tests

* fix: fix inference only case and use in train_prompts

* test: skip failed tests in ci

* style: fix CodeFactor check

* fix: do not use model.to('cpu') with GeminiPlugin

* test: enable colossalai_gemini tests

* test: set CUDA_VISIBLE_DEVICES in ci

* docs: add note

* [chat] strategy refactor unwrap model

* [chat] strategy refactor save model

* [chat] add docstr

* [chat] refactor trainer save model

* [chat] fix strategy typing

* [chat] refactor trainer save model

* [chat] update readme

* [chat] fix unit test

Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>

* add normalize function to value_head in bloom rm

* add normalization to value_function in gpt_rm

* add normalization to value_head of opt_rm

* add Anthropic/hh-rlhf dataset

* Update __init__.py

* Add LogExpLoss in RM training

* Update __init__.py

* update rm trainer to use acc as target

* update example/train_rm

* Update train_rm.sh

* code style

* Update README.md

* Update README.md

* add rm test to ci

* fix tokenier

* fix typo

* change batchsize to avoid oom in ci

* Update test_ci.sh

* fix lora bug

* polish

* fix lora gemini

* fix lora bug

* polish

* [chatgpt]fix train_rm bug with lora

* [chatgpt]support colossalai strategy to train rm

* fix pre-commit

* fix pre-commit 2

* [chatgpt]fix rm eval typo

* fix rm eval

* fix pre commit

* [chatgpt]fix train_rm bug with lora

* [chatgpt]support colossalai strategy to train rm

* fix pre-commit

* fix pre-commit 2