End of training

README.md

@@ -47,13 +47,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Negative                                                               | Positive                                                              | Accuracy | Macro avg                                                              | Weighted avg                                                           |
-|:-------------:|:-----:|:----:|:---------------:|:----------------------------------------------------------------------:|:---------------------------------------------------------------------:|:--------:|:----------------------------------------------------------------------:|:----------------------------------------------------------------------:|
-| 0.0           | 1.0   | 4628 | 0.0000          | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 13620.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 6960.0} | 1.0      | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} |
+| Training Loss | Epoch | Step  | Validation Loss | Negative                                                               | Positive                                                              | Accuracy | Macro avg                                                              | Weighted avg                                                           |
+|:-------------:|:-----:|:-----:|:---------------:|:----------------------------------------------------------------------:|:---------------------------------------------------------------------:|:--------:|:----------------------------------------------------------------------:|:----------------------------------------------------------------------:|
+| 0.0025        | 1.0   | 4628  | 0.0000          | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 13620.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 6960.0} | 1.0      | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} |
+| 0.0           | 2.0   | 9256  | 0.0000          | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 13620.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 6960.0} | 1.0      | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} |
+| 0.0           | 3.0   | 13884 | 0.0000          | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 13620.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 6960.0} | 1.0      | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} | {'precision': 1.0, 'recall': 1.0, 'f1-score': 1.0, 'support': 20580.0} |
 
 
 ### Framework versions