Adam228/BoL2.3

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