@@ -40,7 +40,8 @@ class PairwiseTrainer(Trainer):
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# Compute rewards
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_, _, values = model(**inputs, output_hidden_states=True, return_dict=True)
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if getattr(model.config, "model_type", None) == "chatglm":
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unwrapped_model: "PreTrainedModel" = self.accelerator.unwrap_model(self.model)
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if getattr(unwrapped_model.config, "model_type", None) == "chatglm":
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values = torch.transpose(values, 0, 1)
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# Split the inputs and rewards into two parts, chosen and rejected
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