Set learning rate to 10^-3
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							|  | @ -61,7 +61,7 @@ scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau( | |||
|     threshold=1e-8 | ||||
| ) | ||||
| 
 | ||||
| while total_change >= 1e-4: | ||||
| while total_change >= 1e-3: | ||||
|     # Shuffle training data and convert to one-hot encoding | ||||
|     classes_dataset = classes_ordered[torch.randperm(len(classes_ordered))] | ||||
|     onehot_dataset = util.messages_to_onehot(classes_dataset, order) | ||||
|  |  | |||
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