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0 0.90 0.75 0.81 857
1 0.42 0.69 0.52 232| Training Loss | Epoch | Step | Accuracy | Balanced Accuracy | Classification Report | Validation Loss | Macro F1 | Micro F1 | Weighted F1 |
|---|---|---|---|---|---|---|---|---|---|
| 0.7691 | 0.3040 | 100 | 0.7585 | 0.6831 | precision recall f1-score support |
0 0.87 0.81 0.84 857
1 0.45 0.55 0.49 232
accuracy 0.76 1089 0 0.89 0.75 0.82 857
1 0.42 0.67 0.52 232
accuracy 0.74 1089 0 0.90 0.75 0.82 857
1 0.44 0.71 0.54 232
accuracy 0.74 1089 0 0.90 0.78 0.84 857
1 0.46 0.68 0.55 232
accuracy 0.76 1089 0 0.89 0.83 0.86 857
1 0.51 0.62 0.56 232
accuracy 0.79 1089 0 0.90 0.65 0.75 857
1 0.36 0.74 0.49 232
accuracy 0.67 1089 0 0.90 0.76 0.83 857
1 0.44 0.68 0.53 232
accuracy 0.75 1089 0 0.90 0.75 0.81 857
1 0.42 0.69 0.52 232
accuracy 0.73 1089