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Commits on Jun 14, 2023

• Fix correct gradient accumulation (#407)

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Commits on Jun 13, 2023

• handle the offline case (#431)

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• best-of-n sampler class (#375)

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Commits on Jun 9, 2023

• Update test_reward_trainer.py (#421)

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• [doc build] Use secrets (#420)

  

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• Enable autotag feature w/ wandb (#411)

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• Add slurm utility (#412)

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Commits on Jun 8, 2023

• set dev version

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• Release: v0.4.4

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• unpin accelerate (#418)

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• set dev version

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• Release: v0.4.3

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• Update setup.py (#414)

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Commits on Jun 7, 2023

• Update test_reward_trainer.py (#410)

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• set dev version

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• Release: v0.4.2

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Commits on Jun 6, 2023

• Remove unused imports in docs. (#406)

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• Resolve broken evaluation/prediction for RewardTrainer (#404)

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• StackLLaMA: fix supervised finetuning and reward model training (#399)

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• Fixed some type annotations of trl.trainer.PPoTrainer (#392)

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Commits on Jun 5, 2023

• StackLlama: fixed RL training and added args (#400)

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• StackLLaMA: correctly merge peft model (#398)

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Commits on Jun 2, 2023

• fix 4 bit SFT (#396)

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Commits on May 31, 2023

• keep state_dict kwargs instead of popping it in save_pretrained (#393)

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• from_pretrain with peft adapter on the hub (# 379) (#380)

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Commits on May 30, 2023

• fix typo in ppo_trainer.py (#389)

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• Update customization.mdx (#390)

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Commits on May 24, 2023

• [`core`] Add 4bit QLora (#383)

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Commits on May 18, 2023

• fix warning issue (#377)

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Commits on May 15, 2023

• [`docs`] fix SFT doc (#367)

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• Delete test_training.py (#371)

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• Remove obsolete layer_norm_names parameter and add peft>=0.3.0 to requirements (#366)

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• add is_trainable in kwargs (#363)

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Commits on May 11, 2023

• Fix bug when loading local peft model (#342)

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• 140/best n sampling (#326)

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