fix merge
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@@ -183,10 +183,10 @@ def evalutate(args, eval_task, eval_output_dir, dataset, model):
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nb_eval_steps += 1
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if preds is None:
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preds = logits.detach().cpu().numpy()
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out_label_ids = label_ids.detach().cpu().numpy()
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out_label_ids = inputs['labels'].detach().cpu().numpy()
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else:
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preds = np.append(preds, logits.detach().cpu().numpy(), axis=0)
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out_label_ids = np.append(out_label_ids, label_ids.detach().cpu().numpy(), axis=0)
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out_label_ids = np.append(out_label_ids, inputs['labels'].detach().cpu().numpy(), axis=0)
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eval_loss = eval_loss / nb_eval_steps
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if args.output_mode == "classification":
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