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Adjusted warning message
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@ -261,7 +261,7 @@ class Model(nn.Module):
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# Merge best models
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if len(self.best_models) == 0:
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logging.warning("WARNING!\nNo checkpoint with metrics >= than target values was found!\n"
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"Consider generating more examples, or reducing target metrics. "
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"Consider generating more positive and negative examples for training or reducing target metrics. "
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"Returning the model corresponding to the last training step.\n\n")
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combined_model = self.model
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else:
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