ed06731e00
update Colossal ( #4832 )
2023-09-28 16:05:05 +08:00
822051d888
[doc] update slack link ( #4823 )
2023-09-27 17:37:39 +08:00
1fa8c5e09f
Update Qwen-7B results ( #4821 )
...
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
2023-09-27 17:33:54 +08:00
be400a0936
[chat] fix gemini strategy ( #4698 )
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* [chat] fix gemini strategy
* [chat] fix gemini strategy
* [chat] fix gemini strategy
* [chat] fix gemini strategy
* g# This is a combination of 2 commits.
[chat] fix gemini strategy
fox
* [chat] fix gemini strategy
update llama2 example
[chat] fix gemini strategy
* [fix] fix gemini strategy
* [fix] fix gemini strategy
* [fix] fix gemini strategy
* [fix] fix gemini strategy
* [fix] fix gemini strategy
* [fix] fix gemini strategy
* [fix] fix gemini strategy
* [fix] fix gemini strategy
* [fix] fix gemini strategy
* [fix] fix gemini strategy
* fix
* fix
* fix
* fix
* fix
* Update train_prompts.py
2023-09-27 13:15:32 +08:00
b6cf0aca55
[hotfix] change llama2 Colossal-LLaMA-2 script filename ( #4800 )
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change filename:
pretraining.py -> trainin.py
there is no file named pretraing.py. wrong writing
2023-09-26 11:44:27 +08:00
8cbce6184d
update
2023-09-26 11:36:53 +08:00
bd014673b0
update readme
2023-09-26 10:58:05 +08:00
d512a4d38d
[doc] add llama2 domain-specific solution news ( #4789 )
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* [doc] add llama2 domain-specific solution news
2023-09-25 10:44:15 +08:00
ce777853ae
[feature] ColossalEval: Evaluation Pipeline for LLMs ( #4786 )
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* Add ColossalEval
* Delete evaluate in Chat
---------
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
2023-09-24 23:14:11 +08:00
74aa7d964a
initial commit: add colossal llama 2 ( #4784 )
2023-09-24 23:12:26 +08:00
901ab1eedd
[chat]: add lora merge weights config ( #4766 )
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* feat: modify lora merge weights fn
* feat: add lora merge weights config
2023-09-21 16:23:59 +08:00
7b9b86441f
[chat]: update rm, add wandb and fix bugs ( #4471 )
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* 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
079bf3cb26
[misc] update pre-commit and run all files ( #4752 )
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* [misc] update pre-commit
* [misc] run pre-commit
* [misc] remove useless configuration files
* [misc] ignore cuda for clang-format
2023-09-19 14:20:26 +08:00
e4fc57c3de
Optimized some syntax errors in the documentation and code under applications/ ( #4127 )
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Co-authored-by: flybird11111 <1829166702@qq.com>
2023-09-15 14:18:22 +08:00
a39a5c66fe
Merge branch 'main' into feature/shardformer
2023-09-04 23:43:13 +08:00
c648dc093f
fix colossalai version in coati examples
2023-08-30 11:14:19 +08:00
1467e3b41b
[coati] add chatglm model ( #4539 )
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* update configuration of chatglm and add support in coati
* add unit test & update chatglm default config & fix bos index issue
* remove chatglm due to oom
* add dataset pkg in requirement-text
* fix parameter issue in test_models
* add ref in tokenize & rm unnessary parts
* separate source & target tokenization in chatglm
* add unit test to chatglm
* fix test dataset issue
* update truncation of chatglm
* fix Colossalai version
* fix colossal ai version in test
2023-08-29 17:58:51 +08:00
285fe7ba71
[chat] update config and prompt ( #4139 )
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* update config and prompt
* update config
---------
Co-authored-by: Qianran Ma <qianranm@luchentech.com>
2023-08-21 14:30:25 +08:00
26e29d58f0
[devops] add large-scale distributed test marker ( #4452 )
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* [test] remove cpu marker
* [test] remove gpu marker
* [test] update pytest markers
* [ci] update unit test ci
2023-08-16 18:56:52 +08:00
6d41c3f2aa
[doc] update Coati README ( #4405 )
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* style: apply formatter
* fix: add outdated warnings
* docs: add dataset format and polish
* docs: polish README
* fix: fix json format
* fix: fix typos
* revert: revert 7b example
2023-08-14 15:26:27 +08:00
da4f7b855f
[chat] fix bugs and add unit tests ( #4213 )
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* 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
75c5389037
[chat] fix compute_approx_kl ( #4338 )
2023-08-01 10:21:45 +08:00
5187c96b7c
support session-based training ( #4313 )
...
Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>
2023-07-28 11:29:55 +08:00
0991405361
[NFC] polish applications/Chat/coati/models/utils.py codestyle ( #4277 )
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* [NFC] polish colossalai/context/random/__init__.py code style
* [NFC] polish applications/Chat/coati/models/utils.py code style
2023-07-26 14:12:57 +08:00
9e512938f6
[NFC] polish applications/Chat/coati/trainer/strategies/base.py code style ( #4278 )
2023-07-26 14:12:57 +08:00
c972d65311
applications/Chat/.gitignore ( #4279 )
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Co-authored-by: henryqin1997 <henryqin1997@gamil.com>
2023-07-26 14:12:57 +08:00
709e121cd5
[NFC] polish applications/Chat/coati/models/generation.py code style ( #4275 )
2023-07-26 14:12:57 +08:00
dc1b6127f9
[NFC] polish applications/Chat/inference/server.py code style ( #4274 )
...
Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>
2023-07-26 14:12:57 +08:00
caa4433072
[NFC] fix format of application/Chat/coati/trainer/utils.py ( #4273 )
2023-07-26 14:12:57 +08:00
1ce997daaf
[NFC] polish applications/Chat/examples/train_reward_model.py code style ( #4271 )
2023-07-26 14:12:57 +08:00
798cb72907
[NFC] polish applications/Chat/coati/trainer/base.py code style ( #4260 )
2023-07-26 14:12:57 +08:00
b2debdc09b
[NFC] polish applications/Chat/coati/dataset/sft_dataset.py code style ( #4259 )
2023-07-26 14:12:57 +08:00
dee1c96344
[NFC] policy applications/Chat/examples/ray/mmmt_prompt.py code style ( #4250 )
2023-07-26 14:12:57 +08:00
77c469e1ba
[NFC] polish applications/Chat/coati/models/base/actor.py code style ( #4248 )
2023-07-26 14:12:57 +08:00
915ed8bed1
[NFC] polish applications/Chat/inference/requirements.txt code style ( #4265 )
2023-07-26 14:12:57 +08:00
f447ca1811
[chat] removed cache file ( #4155 )
2023-07-04 16:05:01 +08:00
c1c672d0f0
[shardformer] shardformer support t5 model ( #3994 )
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test t5
2023-07-04 16:05:01 +08:00
3d8d5d0d58
[chat] use official transformers and fix some issues ( #4117 )
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* 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
edd75a59ea
[chat] remove naive strategy and split colossalai strategy ( #4094 )
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* feat: remove on_learn_epoch fn as not used
* revert: add _on_learn_epoch fn
* to: remove the use of NaiveStrategy
* test: remove NaiveStrategy tests
* feat: remove NaiveStrategy
* style: modify comments and params
* feat: split ColossalAIStrategy into LowLevelZeroStrategy and GeminiStrategy
* fix: remove naive
* fix: align with modified colossal strategy
* fix: fix ddp _try_init_dist arg
2023-06-29 18:11:00 +08:00
b03d64d010
[chat] refactor trainer class ( #4080 )
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* to: add SLTrainer
* refactor: refactor RMTrainer and SFTTrainer
* fix: fix init file
* feat: remove on_learn_epoch fn as not used
* fix: align with modified gemini arguments
* to: add OnPolicyTrainer
* revert: add _on_learn_epoch fn
* refactor: refactor PPOTrainer
* style: rename PPOTrainer argument
* fix: align with modified PPO arguments
* test: align with modified train_prompts arguments
* chore: modify train_prompts
* docs: align with modified arguments
* fix: remove unnecessary output
* fix: move dataloader to fit fn of SLTrainer
* fix: move dataloader to fit fn of OnPolicyTrainer
* fix: modify usage of prompt and pretrain dataloader
2023-06-29 10:48:09 +08:00
4da324cd60
[hotfix]fix argument naming in docs and examples ( #4083 )
2023-06-26 23:50:04 +08:00
e89b127d8e
[chat]: fix chat evaluation possible bug ( #4064 )
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* fix chat eval
* fix utils
* fix utils
* add comment
---------
Co-authored-by: Qianran Ma <qianranm@luchentech.com>
2023-06-26 15:26:07 +08:00
153b957a1b
[chat] refactor strategy class with booster api ( #3987 )
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* refactor: adapt boost API in base and naive strategies
* fix: initialize plugin after setup_distributed
* fix: fix save_pretrained fn
* refactor: adapt boost API in DDPStrategy
* to: add _post_init check
* to: fix ddp backward, modify ddp dataloader and unwrap
* feat: adapt boost API in ColossalAIStrategy
* fix: call setup_distributed before use get_current_device
* fix: fix save_model and save_optimizer
* test: remove save_sharded_optimizer test
* style: apply formatter
* fix: fix stage check and add comments
* feat: allow dict type arg in strategy.prepare
* to: temporarily remove lr_scheduler for testing
* style: simplify init of ColossalAIStrategy
* fix: fix lr_scheduler in sft and rm
* style: modify comments
* test: add train_prompts tests
* fix: fix inference only case and use in train_prompts
* test: skip failed tests in ci
* style: fix CodeFactor check
* fix: do not use model.to('cpu') with GeminiPlugin
* test: enable colossalai_gemini tests
* test: set CUDA_VISIBLE_DEVICES in ci
* docs: add note
2023-06-25 17:36:21 +08:00
727c4598a9
[nfc] fix dim not defined and fix typo ( #3991 )
2023-06-19 11:21:55 +08:00
d4fb7bfda7
fix typo applications/Chat/coati/ ( #3947 )
2023-06-15 10:43:11 +08:00
2925f47399
[evaluate] support gpt evaluation with reference ( #3972 )
...
Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>
2023-06-13 15:12:29 +08:00
9d02590c9a
[chat] refactor actor class ( #3968 )
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* refactor: separate log_probs fn from Actor forward fn
* refactor: separate generate fn from Actor class
* feat: update unwrap_model and get_base_model
* unwrap_model returns model not wrapped by Strategy
* get_base_model returns HF model for Actor, Critic and RewardModel
* feat: simplify Strategy.prepare
* style: remove get_base_model method of Actor
* perf: tokenize text in batches
* refactor: move calc_action_log_probs to utils of model
* test: update test with new forward fn
* style: rename forward fn args
* fix: do not unwrap model in save_model fn of naive strategy
* test: add gemini test for train_prompts
* fix: fix _set_default_generate_kwargs
2023-06-13 13:31:56 +08:00
21c4c0b1a0
support UniEval and add CHRF metric ( #3924 )
...
Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>
2023-06-08 17:38:47 +08:00
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
57a6d7685c
support evaluation for english ( #3880 )
...
Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>
2023-06-05 21:24:21 +08:00
Tong Li