Hongxin Liu
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b5f0566363
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[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>
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2023-06-07 10:41:16 +08:00 |
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Hongxin Liu
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179558a87a
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[devops] fix chat ci (#3628)
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2023-04-24 10:55:14 +08:00 |
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Camille Zhong
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36a519b49f
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Update test_ci.sh
update
Update test_ci.sh
Update test_ci.sh
Update test_ci.sh
Update test_ci.sh
Update test_ci.sh
Update test_ci.sh
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update test_ci.sh
Update test_ci.sh
update
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
update ci
Update test_ci.sh
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
Update test_ci.sh
Update test_ci.sh
Update run_chatgpt_examples.yml
Update test_ci.sh
Update test_ci.sh
Update test_ci.sh
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
Update gpt_critic.py
Update gpt_critic.py
Update run_chatgpt_unit_tests.yml
update test ci
update
update
update
update
Update test_ci.sh
update
Update test_ci.sh
Update test_ci.sh
Update run_chatgpt_examples.yml
Update run_chatgpt_examples.yml
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2023-04-18 14:33:12 +08:00 |
|
Frank Lee
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169ed4d24e
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[workflow] purged extension cache before GPT test (#3128)
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2023-03-14 10:11:32 +08:00 |
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ver217
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9c0943ecdb
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[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
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2023-02-15 13:59:58 +08:00 |
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ver217
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f6b4ca4e6c
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[devops] add chatgpt ci (#2713)
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2023-02-15 10:53:54 +08:00 |
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