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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 270 | 0.4435 | {'accuracy': 0.8851851851851852} | {'f1': 0.8837658106568329} | {'f1': 0.8851851851851851} | {'recall': 0.8851851851851852} | {'precision': 0.8851851851851852} |
| 0.6248 | 2.0 | 540 | 0.4601 | {'accuracy': 0.9018518518518519} | {'f1': 0.9003935312696059} | {'f1': 0.9018518518518519} | {'recall': 0.9018518518518519} | {'precision': 0.9018518518518519} |
| 0.6248 | 3.0 | 810 | 0.5067 | {'accuracy': 0.9018518518518519} | {'f1': 0.903263191345543} | {'f1': 0.9018518518518519} | {'recall': 0.9018518518518519} | {'precision': 0.9018518518518519} |
| 0.0931 | 4.0 | 1080 | 0.5500 | {'accuracy': 0.912962962962963} | {'f1': 0.9137945012321058} | {'f1': 0.912962962962963} | {'recall': 0.912962962962963} | {'precision': 0.912962962962963} |
| 0.0931 | 5.0 | 1350 | 0.5617 | {'accuracy': 0.912962962962963} | {'f1': 0.9141126838691339} | {'f1': 0.912962962962963} | {'recall': 0.912962962962963} | {'precision': 0.912962962962963} |