Cleaner integration.
Former-commit-id: 26d4b05d424bd71f570195dd433258caf6465d92
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@@ -166,15 +166,9 @@ class CustomPPOTrainer(PPOTrainer, Trainer):
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self.reward_model = self.accelerator.prepare_model(self.reward_model, evaluation_mode=True)
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if finetuning_args.use_badam:
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from badam import clip_grad_norm_for_sparse_tensor
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self.accelerator.clip_grad_norm_ = MethodType(clip_grad_norm_for_sparse_tensor, self.accelerator)
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if (self.args.deepspeed_plugin is not None
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and self.args.deepspeed_plugin.zero_stage == 3
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):
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from badam.utils import BAdamZeRO3Callback
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self.callback_handler.add_callback(BAdamZeRO3Callback)
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from badam import clip_grad_norm_old_version, BAdamCallback
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self.accelerator.clip_grad_norm_ = MethodType(clip_grad_norm_old_version, self.accelerator)
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self.callback_handler.add_callback(BAdamCallback)
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def ppo_train(self, resume_from_checkpoint: Optional[str] = None) -> None:
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r"""
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