tiny fix
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@ -157,8 +157,8 @@ class PPOTrainerForLLaMA(PPOTrainer, PeftTrainer):
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stats = self.step(queries, responses, rewards)
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stats = self.step(queries, responses, rewards)
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loss_meter.update(stats["ppo/loss/total"])
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loss_meter.update(stats["ppo/loss/total"], n=len(rewards))
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reward_meter.update(torch.tensor(rewards).sum().item(), n=len(rewards))
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reward_meter.update(torch.stack(rewards).mean().item(), n=len(rewards))
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if steps_trained == len_dataloader:
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if steps_trained == len_dataloader:
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dataiter = iter(self.dataloader)
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dataiter = iter(self.dataloader)
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