* feat: remove on_learn_epoch fn as not used
* revert: add _on_learn_epoch fn
* feat: remove NaiveStrategy
* test: update train_prompts tests
* fix: remove prepare_llama_tokenizer_and_embedding
* test: add lora arg
* feat: remove roberta support in train_prompts due to runtime errs
* feat: remove deberta & roberta in rm as not used
* test: remove deberta and roberta tests
* feat: remove deberta and roberta models as not used
* fix: remove calls to roberta
* fix: remove prepare_llama_tokenizer_and_embedding
* chore: update transformers version
* docs: update transformers version
* fix: fix actor inference
* fix: fix ci
* feat: change llama pad token to unk
* revert: revert ddp setup_distributed
* fix: change llama pad token to unk
* revert: undo unnecessary changes
* fix: use pip to install transformers
* Update ppo.py
Fix the bug of fetching wrong batch data
* Add peft model support in SFT and Prompts training
In stage-1 and stage-3, the peft model supports are added. So the trained artifacts will be only a small lora additions instead of the whole bunch of files.
* Delete test_prompts.txt
* Delete test_pretrained.txt
* Move the peft stuffs to a community folder.
* Move the demo sft to community
* delete dirty files
* Add instructions to install peft using source
* Remove Chinese comments
* remove the Chinese comments
Hongxin Liu