fix ppo trainer
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@ -203,7 +203,7 @@ class CustomPPOTrainer(PPOTrainer, Trainer):
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r"""
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Generates model's responses given queries.
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"""
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if self.finetuning_args.upcast_layernorm:
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if self.model_args.upcast_layernorm:
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layernorm_params = dump_layernorm(self.model)
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if batch["input_ids"].size(0) == 1: # handle llama2 ppo with gradient accumulation > 1
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@ -218,7 +218,7 @@ class CustomPPOTrainer(PPOTrainer, Trainer):
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**batch
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)
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if self.finetuning_args.upcast_layernorm:
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if self.model_args.upcast_layernorm:
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restore_layernorm(self.model, layernorm_params)
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query = batch["input_ids"].detach().cpu()
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