small fix
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@ -263,13 +263,12 @@ class Trainer:
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dic_err[phase][clst]['bi'], dic_err[phase][clst]['conf_bi'] * 100))
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# Save the model and the results
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self.save = False
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if self.save and not load:
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torch.save(self.model.state_dict(), self.path_model)
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print('-'*120)
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self.logger.info("model saved: {} \n".format(self.path_model))
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self.logger.info("\nmodel saved: {} \n".format(self.path_model))
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else:
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self.logger.info("model not saved\n")
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self.logger.info("\nmodel not saved\n")
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return dic_err, self.model
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