don't save if do not train
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@@ -1010,6 +1010,7 @@ def main():
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# Save a trained model
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model_to_save = model.module if hasattr(model, 'module') else model # Only save the model it-self
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output_model_file = os.path.join(args.output_dir, "pytorch_model.bin")
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if args.do_train:
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torch.save(model_to_save.state_dict(), output_model_file)
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# Load a trained model that you have fine-tuned
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