| Run 16 Hyperparameters: | |
| Learning Rate: 2e-05 | |
| Gradient Accumulation Steps: 1 | |
| Weight Decay: 0.01 | |
| Batch Size: 8 | |
| Epochs: 7 | |
| Evaluation Metrics: | |
| Eval Loss: 0.052909377962350845 | |
| Eval Precision: 0.9515242378810594 | |
| Eval Recall: 0.9612924941097274 | |
| Eval F1: 0.9563834240267894 | |
| Test Set Evaluation Results for Run 16: | |
| Test Loss: 0.19122998416423798 | |
| Test Precision: 0.9052686671318911 | |
| Test Recall: 0.9187322946175638 | |
| Test F1: 0.9119507908611598 | |