[core / DDP] Fix RM trainer + DDP + quantization + propagate gradient_checkpointing_kwargs in SFT & DPO#912
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younesbelkada merged 14 commits intomainfrom Oct 31, 2023
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vwxyzjn
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Oct 24, 2023
examples/scripts/reward_modeling.py
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| # Step 2: Load the dataset and pre-process it | ||
| tokenizer = AutoTokenizer.from_pretrained(args.model_name) | ||
| train_dataset = load_dataset(args.dataset_name, split="train") | ||
| train_dataset = load_dataset(args.dataset_name, split="train[:50]") |
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Could this be not hardcoded? Maybe like split=args.split
younesbelkada
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Oct 30, 2023
core / DDP] Fix RM trainer + DDP + quantization core / DDP] Fix RM trainer + DDP + quantization + propagate gradient_checkpointing_kwargs
core / DDP] Fix RM trainer + DDP + quantization + propagate gradient_checkpointing_kwargscore / DDP] Fix RM trainer + DDP + quantization + propagate gradient_checkpointing_kwargs in SFT & DPO
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The documentation is not available anymore as the PR was closed or merged. |
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* fix bug: generate_args-do_sample * fix gradient_checkpointing_kwargs bug see: huggingface/trl#912 and huggingface/transformers#26969 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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…dient_checkpointing_kwargs` in SFT & DPO (huggingface#912) * make use of forward hooks * correctly delete attributes * fix RM DPP issues * revert unneeded changes * more fixes * fix diff * fix * propagate to SFT * Update examples/scripts/reward_modeling.py * propagate the fix on DPO trainer * add to example scripts * trigger CI
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* fix bug: generate_args-do_sample * fix gradient_checkpointing_kwargs bug see: huggingface/trl#912 and huggingface/transformers#26969 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
yxliu-TAMU
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…dient_checkpointing_kwargs` in SFT & DPO (huggingface#912) * make use of forward hooks * correctly delete attributes * fix RM DPP issues * revert unneeded changes * more fixes * fix diff * fix * propagate to SFT * Update examples/scripts/reward_modeling.py * propagate the fix on DPO trainer * add to example scripts * trigger CI
sg-nm
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* fix bug: generate_args-do_sample * fix gradient_checkpointing_kwargs bug see: huggingface/trl#912 and huggingface/transformers#26969 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Needs : huggingface/peft#1036 / huggingface/transformers#27020
Fixes: #891
Fixes: #835
To avoid issues with PEFT + DDP, we need to call the gradient checkpointing method with
use_reentrant=Falsethat you can pass over the argumentgradient_checkpointing_kwargsdirectly in trainer with huggingface/transformers#27020 .For users that do not have the correct transformers version they need to update transformers with the correct version to get that feature, otherwise
gradient_checkpointing_kwargswill get ignored.cc @lvwerra