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support ORPO
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@@ -134,6 +134,7 @@ class LogCallback(TrainerCallback):
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eval_loss=state.log_history[-1].get("eval_loss", None),
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predict_loss=state.log_history[-1].get("predict_loss", None),
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reward=state.log_history[-1].get("reward", None),
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accuracy=state.log_history[-1].get("rewards/accuracies", None),
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learning_rate=state.log_history[-1].get("learning_rate", None),
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epoch=state.log_history[-1].get("epoch", None),
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percentage=round(self.cur_steps / self.max_steps * 100, 2) if self.max_steps != 0 else 100,
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