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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
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