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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 |
|---|---|---|---|---|---|---|---|
| 0.6394 | 0.12 | 500 | 0.6076 | 0.6675 | 0.7923 | 0.6341 | 0.7044 |
| 0.6003 | 0.25 | 1000 | 0.5986 | 0.6763 | 0.7788 | 0.6463 | 0.7063 |
| 0.5931 | 0.38 | 1500 | 0.5877 | 0.6895 | 0.6305 | 0.7149 | 0.6700 |
| 0.5895 | 0.5 | 2000 | 0.5813 | 0.6956 | 0.6815 | 0.7013 | 0.6913 |
| 0.5692 | 0.62 | 2500 | 0.5777 | 0.6961 | 0.7115 | 0.6903 | 0.7007 |
| 0.5729 | 0.75 | 3000 | 0.5916 | 0.6985 | 0.7412 | 0.6829 | 0.7109 |
| 0.569 | 0.88 | 3500 | 0.5747 | 0.6971 | 0.764 | 0.6739 | 0.7161 |
| 0.5651 | 1.0 | 4000 | 0.5714 | 0.699 | 0.668 | 0.7122 | 0.6894 |
| 0.5463 | 1.12 | 4500 | 0.5733 | 0.7007 | 0.6525 | 0.7222 | 0.6856 |
| 0.5355 | 1.25 | 5000 | 0.5889 | 0.6997 | 0.7598 | 0.6783 | 0.7167 |
| 0.5277 | 1.38 | 5500 | 0.5952 | 0.691 | 0.5747 | 0.7489 | 0.6504 |
| 0.5207 | 1.5 | 6000 | 0.5926 | 0.7019 | 0.6515 | 0.7245 | 0.6861 |
| 0.5298 | 1.62 | 6500 | 0.5796 | 0.7031 | 0.663 | 0.7208 | 0.6907 |
| 0.5244 | 1.75 | 7000 | 0.5766 | 0.7034 | 0.6355 | 0.7353 | 0.6818 |
| 0.5238 | 1.88 | 7500 | 0.5719 | 0.7019 | 0.6905 | 0.7066 | 0.6984 |
| 0.5172 | 2.0 | 8000 | 0.5860 | 0.7044 | 0.622 | 0.7447 | 0.6778 |
| 0.4703 | 2.12 | 8500 | 0.6422 | 0.694 | 0.5643 | 0.7620 | 0.6484 |
| 0.4738 | 2.25 | 9000 | 0.6193 | 0.6976 | 0.6555 | 0.7158 | 0.6843 |
| 0.4718 | 2.38 | 9500 | 0.6083 | 0.6997 | 0.6552 | 0.7193 | 0.6858 |
| 0.4722 | 2.5 | 10000 | 0.6144 | 0.6975 | 0.6508 | 0.7179 | 0.6827 |
| 0.463 | 2.62 | 10500 | 0.6240 | 0.6971 | 0.6368 | 0.7242 | 0.6777 |
| 0.4615 | 2.75 | 11000 | 0.6171 | 0.6977 | 0.667 | 0.7107 | 0.6882 |
| 0.4568 | 2.88 | 11500 | 0.6250 | 0.6993 | 0.6603 | 0.7161 | 0.6870 |
| 0.4633 | 3.0 | 12000 | 0.6213 | 0.6981 | 0.6923 | 0.7005 | 0.6963 |