GitLab

* feat: modify forward fn of critic and reward model

* feat: modify calc_action_log_probs

* to: add wandb in sft and rm trainer

* feat: update train_sft

* feat: update train_rm

* style: modify type annotation and add warning

* feat: pass tokenizer to ppo trainer

* to: modify trainer base and maker base

* feat: add wandb in ppo trainer

* feat: pass tokenizer to generate

* test: update generate fn tests

* test: update train tests

* fix: remove action_mask

* feat: remove unused code

* fix: fix wrong ignore_index

* fix: fix mock tokenizer

* chore: update requirements

* revert: modify make_experience

* fix: fix inference

* fix: add padding side

* style: modify _on_learn_batch_end

* test: use mock tokenizer

* fix: use bf16 to avoid overflow

* fix: fix workflow

* [chat] fix gemini strategy

* [chat] fix

* sync: update colossalai strategy

* fix: fix args and model dtype

* fix: fix checkpoint test

* fix: fix requirements

* fix: fix missing import and wrong arg

* fix: temporarily skip gemini test in stage 3

* style: apply pre-commit

* fix: temporarily skip gemini test in stage 1&2

---------
Co-authored-by: Mingyan Jiang <1829166702@qq.com>

* [misc] update pre-commit

* [misc] run pre-commit

* [misc] remove useless configuration files

* [misc] ignore cuda for clang-format

* style: rename replay buffer

Experience replay is typically for off policy algorithms.
Use this name in PPO maybe misleading.

* fix: fix wrong zero2 default arg

* test: update experience tests

* style: rename zero_pad fn

* fix: defer init in CycledDataLoader

* test: add benchmark test

* style: rename internal fn of generation

* style: rename internal fn of lora

* fix: remove unused loss fn

* fix: remove unused utils fn

* refactor: remove generate_with_actor fn

* fix: fix type annotation

* test: add models tests

* fix: skip llama due to long execution time

* style: modify dataset

* style: apply formatter

* perf: update reward dataset

* fix: fix wrong IGNORE_INDEX in sft dataset

* fix: remove DataCollatorForSupervisedDataset

* test: add dataset tests

* style: apply formatter

* style: rename test_ci to test_train

* feat: add llama in inference

* test: add inference tests

* test: change test scripts directory

* fix: update ci

* fix: fix typo

* fix: skip llama due to oom

* fix: fix file mod

* style: apply formatter

* refactor: remove duplicated llama_gptq

* style: apply formatter

* to: update rm test

* feat: add tokenizer arg

* feat: add download model script

* test: update train tests

* fix: modify gemini load and save pretrained

* test: update checkpoint io test

* to: modify nproc_per_node

* fix: do not remove existing dir

* fix: modify save path

* test: add random choice

* fix: fix sft path

* fix: enlarge nproc_per_node to avoid oom

* fix: add num_retry

* fix: make lora config of rm and critic consistent

* fix: add warning about lora weights

* fix: skip some gpt2 tests

* fix: remove grad ckpt in rm and critic due to errors

* refactor: directly use Actor in train_sft

* test: add more arguments

* fix: disable grad ckpt when using lora

* fix: fix save_pretrained and related tests

* test: enable zero2 tests

* revert: remove useless fn

* style: polish code

* test: modify test args

* 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

* Add RoBERTa for RLHF Stage 2 & 3 (test)

RoBERTa for RLHF Stage 2 & 3 (still in testing)

* Revert "Add RoBERTa for RLHF Stage 2 & 3 (test)"

This reverts commit 06741d894dcbe958acd4e10d771f22275e20e368.

* Add RoBERTa for RLHF stage 2 & 3

1. add roberta folder under model folder
2. add  roberta option in train_reward_model.py
3. add some test in testci

* add test for reward model training

* Update test_ci.sh

* Revert "Update test_ci.sh"

This reverts commit 9c7352b81766f3177d31eeec0ec178a301df966a.

* Add RoBERTa for RLHF Stage 2 & 3 (test)

RoBERTa for RLHF Stage 2 & 3 (still in testing)

* Revert "Add RoBERTa for RLHF Stage 2 & 3 (test)"

This reverts commit 06741d894dcbe958acd4e10d771f22275e20e368.

* Add RoBERTa for RLHF stage 2 & 3

1. add roberta folder under model folder
2. add  roberta option in train_reward_model.py
3. add some test in testci

* Update test_ci.sh

* Revert "Update test_ci.sh"

This reverts commit 9c7352b81766f3177d31eeec0ec178a301df966a.

* update roberta with coati

* fix lora bug

* polish

* fix lora gemini

* fix inference laod model bug

* [chatgpt] fix inference demo loading bug

* polish

* [chatgpt] support inference example

* Create inference.sh

* Update README.md

* Delete inference.sh

* Update inference.py