Commit Graph

19 Commits

Author SHA1 Message Date
Hongxin Liu
d54642a263
[application] add lora sft example (#6192)
* [application] add lora sft example

* update requirements

* update readme

* update comment

* update ci
2025-02-18 13:06:38 +08:00
YeAnbang
d20c8ffd97
Add GRPO and Support RLVR for PPO (#6186)
* add grpo, support rlvr

* add grpo, support rlvr

* tested deepseek r1 pipeline

* add ci

* verify grpo r1

* verify grpo r1

* update readme, remove unused code

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* remove path

* clean code

* fix circular import

* fix ci OOM

* fix ci OOM

* skip kto tp, fix qwen generation

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2025-02-18 09:43:36 +08:00
Wenxuan Tan
d383449fc4
[CI] Remove triton version for compatibility bug; update req torch >=2.2 (#6018)
* remove triton version

* remove torch 2.2

* remove torch 2.1

* debug

* remove 2.1 build tests

* require torch >=2.2

---------

Co-authored-by: Edenzzzz <wtan45@wisc.edu>
2024-08-27 10:12:21 +08:00
Tong Li
39e2597426
[ColossalChat] Add PP support (#6001)
* support pp training

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* update rm

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* refactor

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* update test case

* fix

* change to 4

* fix eval

* test

* add pp

* hotfix

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* support pp training

* update rm

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* refactor

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* update test case

* fix

* change to 4

* fix eval

* test

* add pp

* hotfix

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* update

* skip pp eval

* update all reduce

* update sft

* update ignore

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* update no cache

* add eval

* remove fi

* remove debug

* remove parentheses to avoid warning

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* Revert "add eval"

This reverts commit 3ab2f6fa32.

* add all reduce

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-08-21 10:47:39 +08:00
YeAnbang
09d5ffca1a add kto 2024-07-18 07:54:11 +00:00
YeAnbang
790e1362a6 merge 2024-06-07 07:01:32 +00:00
YeAnbang
b1031f7244 fix ci 2024-06-07 07:01:31 +00:00
YeAnbang
df5e9c53cf
[ColossalChat] Update RLHF V2 (#5286)
* Add dpo. Fix sft, ppo, lora. Refactor all

* fix and tested ppo

* 2 nd round refactor

* add ci tests

* fix ci

* fix ci

* fix readme, style

* fix readme style

* fix style, fix benchmark

* reproduce benchmark result, remove useless files

* rename to ColossalChat

* use new image

* fix ci workflow

* fix ci

* use local model/tokenizer for ci tests

* fix ci

* fix ci

* fix ci

* fix ci timeout

* fix rm progress bar. fix ci timeout

* fix ci

* fix ci typo

* remove 3d plugin from ci temporary

* test environment

* cannot save optimizer

* support chat template

* fix readme

* fix path

* test ci locally

* restore build_or_pr

* fix ci data path

* fix benchmark

* fix ci, move ci tests to 3080, disable fast tokenizer

* move ci to 85

* support flash attention 2

* add all-in-one data preparation script. Fix colossal-llama2-chat chat template

* add hardware requirements

* move ci test data

* fix save_model, add unwrap

* fix missing bos

* fix missing bos; support grad accumulation with gemini

* fix ci

* fix ci

* fix ci

* fix llama2 chat template config

* debug sft

* debug sft

* fix colossalai version requirement

* fix ci

* add sanity check to prevent NaN loss

* fix requirements

* add dummy data generation script

* add dummy data generation script

* add dummy data generation script

* add dummy data generation script

* update readme

* update readme

* update readme and ignore

* fix logger bug

* support parallel_output

* modify data preparation logic

* fix tokenization

* update lr

* fix inference

* run pre-commit

---------

Co-authored-by: Tong Li <tong.li352711588@gmail.com>
2024-03-29 14:12:29 +08:00
Frank Lee
73f4dc578e
[workflow] updated CI image (#5318) 2024-01-29 11:53:07 +08:00
Wenhao Chen
7b9b86441f
[chat]: update rm, add wandb and fix bugs (#4471)
* 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>
2023-09-20 15:53:58 +08:00
ver217
1c43bfd54e [coati] update ci 2023-08-30 10:55:56 +08:00
Wenhao Chen
da4f7b855f
[chat] fix bugs and add unit tests (#4213)
* 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
2023-08-02 10:17:36 +08:00
Wenhao Chen
3d8d5d0d58
[chat] use official transformers and fix some issues (#4117)
* 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
2023-07-04 13:49:09 +08:00
Hongxin Liu
b5f0566363
[chat] add distributed PPO trainer (#3740)
* Detached ppo (#9)

* run the base

* working on dist ppo

* sync

* detached trainer

* update detached trainer. no maker update function

* facing init problem

* 1 maker 1 trainer detached run. but no model update

* facing cuda problem

* fix save functions

* verified maker update

* nothing

* add ignore

* analyize loss issue

* remove some debug codes

* facing 2m1t stuck issue

* 2m1t verified

* do not use torchrun

* working on 2m2t

* working on 2m2t

* initialize strategy in ray actor env

* facing actor's init order issue

* facing ddp model update issue (need unwarp ddp)

* unwrap ddp actor

* checking 1m2t stuck problem

* nothing

* set timeout for trainer choosing. It solves the stuck problem!

* delete some debug output

* rename to sync with upstream

* rename to sync with upstream

* coati rename

* nothing

* I am going to detach the replaybuffer from trainer and make it a Ray Actor. Two benefits: 1. support TP trainer. 2. asynchronized buffer operations

* experience_maker_holder performs target-revolving _send_experience() instead of length comparison.

* move code to ray subfolder

* working on pipeline inference

* apply comments

* working on pipeline strategy. in progress.

* remove pipeline code. clean this branch

* update remote parameters by state_dict. no test

* nothing

* state_dict sharding transfer

* merge debug branch

* gemini _unwrap_model fix

* simplify code

* simplify code & fix LoRALinear AttributeError

* critic unwrapped state_dict

---------

Co-authored-by: csric <richcsr256@gmail.com>

* [chat] add perfomance evaluator and fix bugs (#10)

* [chat] add performance evaluator for ray

* [chat] refactor debug arg

* [chat] support hf config

* [chat] fix generation

* [chat] add 1mmt dummy example

* [chat] fix gemini ckpt

* split experience to send (#11)

Co-authored-by: csric <richcsr256@gmail.com>

* [chat] refactor trainer and maker (#12)

* [chat] refactor experience maker holder

* [chat] refactor model init

* [chat] refactor trainer args

* [chat] refactor model init

* [chat] refactor trainer

* [chat] refactor experience sending logic and training loop args (#13)

* [chat] refactor experience send logic

* [chat] refactor trainer

* [chat] refactor trainer

* [chat] refactor experience maker

* [chat] refactor pbar

* [chat] refactor example folder (#14)

* [chat] support quant (#15)

* [chat] add quant

* [chat] add quant example

* prompt example (#16)

* prompt example

* prompt load csv data

* remove legacy try

---------

Co-authored-by: csric <richcsr256@gmail.com>

* [chat] add mmmt dummy example and refactor experience sending (#17)

* [chat] add mmmt dummy example

* [chat] refactor naive strategy

* [chat] fix struck problem

* [chat] fix naive strategy

* [chat] optimize experience maker sending logic

* [chat] refactor sending assignment

* [chat] refactor performance evaluator (#18)

* Prompt Example & requires_grad state_dict & sharding state_dict (#19)

* prompt example

* prompt load csv data

* remove legacy try

* maker models require_grad set to False

* working on zero redundancy update

* mmmt_prompt example; naive strategy requires_grad state_dict & sharding; maker model requires_no_grad.

* remove legacy examples

* remove legacy examples

* remove replay buffer tp state. bad design

---------

Co-authored-by: csric <richcsr256@gmail.com>

* state_dict sending adapts to new unwrap function (#20)

* prompt example

* prompt load csv data

* remove legacy try

* maker models require_grad set to False

* working on zero redundancy update

* mmmt_prompt example; naive strategy requires_grad state_dict & sharding; maker model requires_no_grad.

* remove legacy examples

* remove legacy examples

* remove replay buffer tp state. bad design

* opt benchmark

* better script

* nothing

* [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

* working on lora reconstruction

* state_dict sending adapts to new unwrap function

* remove comments

---------

Co-authored-by: csric <richcsr256@gmail.com>
Co-authored-by: ver217 <lhx0217@gmail.com>

* [chat-ray] add readme (#21)

* add readme

* transparent graph

* add note background

---------

Co-authored-by: csric <richcsr256@gmail.com>

* [chat] get images from url (#22)

* Refactor/chat ray (#23)

* [chat] lora add todo

* [chat] remove unused pipeline strategy

* [chat] refactor example structure

* [chat] setup ci for ray

* [chat-ray] Support LoRA trainer. LoRA weights reconstruction. (#24)

* lora support prototype

* lora support

* 1mmt lora & remove useless code

---------

Co-authored-by: csric <richcsr256@gmail.com>

* [chat] fix test ci for ray

* [chat] fix test ci requirements for ray

* [chat] fix ray runtime env

* [chat] fix ray runtime env

* [chat] fix example ci docker args

* [chat] add debug info in trainer

* [chat] add nccl debug info

* [chat] skip ray test

* [doc] fix typo

---------

Co-authored-by: csric <59389055+CsRic@users.noreply.github.com>
Co-authored-by: csric <richcsr256@gmail.com>
2023-06-07 10:41:16 +08:00
Hongxin Liu
179558a87a
[devops] fix chat ci (#3628) 2023-04-24 10:55:14 +08:00
Camille Zhong
36a519b49f Update test_ci.sh
update

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Update run_chatgpt_examples.yml

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Update test_ci.sh

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update

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update ci

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Update test_ci.sh

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update test ci

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

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

This reverts commit 06741d894d.

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.

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 06741d894d.

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

chat ci update

Revert "chat ci update"

This reverts commit 17ae7ae01fa752bd3289fc39069868fde99cf846.

[test]chat_update_ci

Update test_ci.sh

Update test_ci.sh

test

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update test ci

update

update

update

update

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update

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2023-04-18 14:33:12 +08:00
Frank Lee
169ed4d24e
[workflow] purged extension cache before GPT test (#3128) 2023-03-14 10:11:32 +08:00
ver217
9c0943ecdb
[chatgpt] optimize generation kwargs (#2717)
* [chatgpt] ppo trainer use default generate args

* [chatgpt] example remove generation preparing fn

* [chatgpt] benchmark remove generation preparing fn

* [chatgpt] fix ci
2023-02-15 13:59:58 +08:00
ver217
f6b4ca4e6c
[devops] add chatgpt ci (#2713) 2023-02-15 10:53:54 +08:00