| Step | Training Loss | Validation Loss | Precision | Recall | F1 | Accuracy |
|------|---------------|-----------------|-----------|---------|---------|----------|
| 100 | No log | 0.609628 | 0.377612 | 0.241355| 0.294486| 0.865759 |
| 200 | No log | 0.466013 | 0.490520 | 0.379442| 0.427889| 0.906683 |
| 300 | No log | 0.390104 | 0.503527 | 0.417124| 0.456271| 0.919057 |
| 400 | No log | 0.338032 | 0.584034 | 0.513833| 0.546689| 0.932277 |
| 500 | 0.426900 | 0.277176 | 0.612815 | 0.533747| 0.570554| 0.936023 |
| 600 | 0.426900 | 0.225064 | 0.724737 | 0.656809| 0.689103| 0.954296 |
| 700 | 0.426900 | 0.205494 | 0.742572 | 0.718221| 0.730193| 0.959808 |
| 800 | 0.426900 | 0.164182 | 0.819333 | 0.779275| 0.798802| 0.969985 |
| 900 | 0.426900 | 0.156807 | 0.799976 | 0.783568| 0.791687| 0.969971 |
| 1000 | 0.205900 | 0.157711 | 0.828827 | 0.796804| 0.812500| 0.969914 |
| 1100 | 0.205900 | 0.123362 | 0.866014 | 0.823158| 0.844042| 0.975684 |
| 1200 | 0.205900 | 0.131588 | 0.852180 | 0.824946| 0.838342| 0.973933 |
| 1300 | 0.205900 | 0.122332 | 0.877718 | 0.832817| 0.854678| 0.977392 |
| 1400 | 0.205900 | 0.111495 | 0.872678 | 0.851658| 0.862040| 0.978483 |
| 1500 | 0.138400 | 0.103011 | 0.869147 | 0.860959| 0.865033| 0.977880 |
| 1600 | 0.138400 | 0.095390 | 0.888766 | 0.861316| 0.874826| 0.981153 |
| 1700 | 0.138400 | 0.093023 | 0.896176 | 0.871810| 0.883825| 0.981971 |
| 1800 | 0.138400 | 0.092583 | 0.885175 | 0.877892| 0.881518| 0.981282 |
| 1900 | 0.138400 | 0.090289 | 0.887939 | 0.879680| 0.883791| 0.981038 |
| 2000 | 0.096800 | 0.086079 | 0.893025 | 0.883973| 0.888476| 0.982631 |
| 2100 | 0.096800 | 0.075291 | 0.898683 | 0.894825| 0.896750| 0.984569 |
| 2200 | 0.096800 | 0.080216 | 0.897989 | 0.894348| 0.896164| 0.983005 |
| 2300 | 0.096800 | 0.073706 | 0.901829 | 0.899356| 0.900591| 0.984914 |
| 2400 | 0.096800 | 0.074834 | 0.905853 | 0.900668| 0.903253| 0.983981 |
| 2500 | 0.091800 | 0.074162 | 0.907432 | 0.907107| 0.907269| 0.985301 |
| 2600 | 0.091800 | 0.068711 | 0.921491 | 0.911161| 0.916297| 0.986694 |
| 2700 | 0.091800 | 0.067867 | 0.912732 | 0.910446| 0.911587| 0.986277 |
| 2800 | 0.091800 | 0.068664 | 0.918270 | 0.916408| 0.917338| 0.987038 |
| 2900 | 0.091800 | 0.068121 | 0.918570 | 0.91605 |0.917308 | 0.987024|
|3000 |0.074000 |0.067552 |0.918689 |0.916170 | 0.917428| 0.987081|
