| ### Model Training Results | |
| | Step | Training Loss | Validation Loss | Precision | Recall | F1 Score | Accuracy | | |
| |-------|---------------|------------------|-----------|----------|-----------|----------| | |
| | 100 | No log | nan | 0.577778 | 0.091549 | 0.158055 | 0.904256 | | |
| | 200 | No log | nan | 0.423664 | 0.097711 | 0.158798 | 0.907732 | | |
| | 300 | No log | nan | 0.405759 | 0.136444 | 0.204216 | 0.911929 | | |
| | 400 | No log | nan | 0.440092 | 0.168134 | 0.243312 | 0.914093 | | |
| | 500 | 0.543200 | nan | 0.293814 | 0.200704 | 0.238494 | 0.916519 | | |
| | 600 | 0.543200 | nan | 0.368502 | 0.212148 | 0.269274 | 0.922618 | | |
| | 700 | 0.543200 | nan | 0.421129 | 0.256162 | 0.318555 | 0.928782 | | |
| | 800 | 0.543200 | nan | 0.394939 | 0.316021 | 0.351100 | 0.927471 | | |
| | 900 | 0.543200 | nan | 0.396752 | 0.301056 | 0.342342 | 0.927733 | | |
| | 1000 | 0.245300 | nan | 0.434896 | 0.294014 | 0.350840 | 0.929635 | | |
| | 1100 | 0.245300 | nan | 0.431743 | 0.342430 | 0.381934 | 0.936586 | | |
| | 1200 | 0.245300 | nan | 0.471413 | 0.384683 | 0.423655 | 0.940390 | | |
| | 1300 | 0.245300 | nan | 0.491860 | 0.372359 | 0.423848 | 0.939209 | | |
| | 1400 | 0.245300 | nan | 0.525826 | 0.448063 | 0.483840 | 0.949177 | | |
| | 1500 | 0.177800 | nan | 0.512082 | 0.485035 | 0.498192 | 0.948521 | | |
| | 1600 | 0.177800 | nan | 0.520349 | 0.472711 | 0.495387 | 0.949308 | | |
| | 1700 | 0.177800 | nan | 0.553862 | 0.479754 | 0.514151 | 0.952062 | | |
| | 1800 | 0.177800 | nan | 0.557673 | 0.489437 | 0.521331 | 0.951931 | | |
| | 1900 | 0.177800 | nan | 0.531308 | 0.507923 | 0.519352 | 0.952062 | | |
| | 2000 | 0.131900 | nan | 0.544022 | 0.516725 | 0.530023 | 0.954161 | | |
| | 2100 | 0.131900 | nan | 0.539889 | 0.512324 | 0.525745 | 0.953505 | | |
| | 2200 | 0.131900 | nan | 0.542700 | 0.520246 | 0.531236 | 0.953702 | | |
| | 2300 | 0.131900 | nan | 0.573372 | 0.519366 | 0.545035 | 0.956522 | | |
| | 2400 | 0.131900 | nan | 0.593874 | 0.529049 | 0.559590 | 0.957243 | | |
| | 2500 | 0.107600 | nan | 0.571988 | 0.514085 | 0.541493 | 0.955538 | | |
| | 2600 | 0.107600 | nan | 0.572534 | 0.521127 | 0.545622 | 0.955669 | | |
| | 2700 | 0.107600 | nan | 0.562441 | 0.527289 | 0.544298 | 0.955538 | | |
| | 2800 | 0.107600 | nan | 0.551341 | 0.524648 | 0.537664 | 0.955407 | | |
| | 2900 | 0.107600 | nan | 0.556175 | 0.527289 | 0.541347 | 0.955997 | | |
| | 3000 | 0.099200 | nan | 0.551628 | 0.522007 | 0.536409 | 0.956063 | | |