* 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.
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.
* Update README.md
Update README.md
* update readme
* Update test_ci.sh
* update readme and add a script
update readme and add a script
modify readme
Update README.md
* [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
* 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.
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.
* Update README.md
Update README.md
* update readme
* Update test_ci.sh
* Fixed several spelling errors under colossalai
* Fix the spelling error in colossalai and docs directory
* Cautious Changed the spelling error under the example folder
* Update runtime_preparation_pass.py
revert autograft to autograd
* Update search_chunk.py
utile to until
* Update check_installation.py
change misteach to mismatch in line 91
* Update 1D_tensor_parallel.md
revert to perceptron
* Update 2D_tensor_parallel.md
revert to perceptron in line 73
* Update 2p5D_tensor_parallel.md
revert to perceptron in line 71
* Update 3D_tensor_parallel.md
revert to perceptron in line 80
* Update README.md
revert to resnet in line 42
* Update reorder_graph.py
revert to indice in line 7
* Update p2p.py
revert to megatron in line 94
* Update initialize.py
revert to torchrun in line 198
* Update routers.py
change to detailed in line 63
* Update routers.py
change to detailed in line 146
* Update README.md
revert random number in line 402
* 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
---------
Co-authored-by: csric <richcsr256@gmail.com>
Hongxin Liu