Step | Training Loss | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|
100 | No log | 1.262471 | 0.457912 | 0.382022 | 0.416539 | 0.776852 |
200 | No log | 0.618033 | 0.722063 | 0.707865 | 0.714894 | 0.894444 |
300 | No log | 0.389319 | 0.815864 | 0.808989 | 0.812412 | 0.937037 |
400 | No log | 0.267289 | 0.848739 | 0.851124 | 0.849930 | 0.952778 |
500 | 0.796900 | 0.199029 | 0.885475 | 0.890449 | 0.887955 | 0.967593 |
600 | 0.796900 | 0.160316 | 0.906593 | 0.926966 | 0.916667 | 0.974074 |
700 | 0.796900 | 0.147995 | 0.925000 | 0.935393 | 0.930168 | 0.979630 |
800 | 0.796900 | 0.121082 | 0.947222 | 0.957865 | 0.952514 | 0.985185 |
900 | 0.796900 | 0.116308 | 0.936111 | 0.946629 | 0.941341 | 0.982407 |
1000 | 0.092900 | 0.120877 | 0.928177 | 0.943820 | 0.935933 | 0.980556 |
1100 | 0.092900 | 0.103073 | 0.938202 | 0.938202 | 0.938202 | 0.982407 |
1200 | 0.092900 | 0.115052 | 0.925824 | 0.946629 | 0.936111 | 0.980556 |
1300 | 0.092900 | 0.107042 | 0.931694 | 0.957865 | 0.944598 | 0.982407 |
1400 | 0.092900 | 0.119039 | 0.934426 | 0.960674 | 0.947368 | 0.982407 |
1500 | 0.040500 | 0.112217 | 0.929155 | 0.957865 | 0.943292 | 0.981481 |
1600 | 0.040500 | 0.113101 | 0.934247 | 0.957865 | 0.945908 | 0.983333 |
1700 | 0.040500 | 0.103371 | 0.940054 | 0.969101 | 0.954357 | 0.985185 |
1800 | 0.040500 | 0.107750 | 0.931507 | 0.955056 | 0.943135 | 0.982407 |
1900 | 0.040500 | 0.110156 | 0.934605 | 0.963483 | 0.948824 | 0.983333 |
2000 | 0.028100 | 0.108446 | 0.934605 | 0.963483 | 0.948824 | 0.983333 |