Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	73	0.1575	0.6484	0.5673	0.6051	0.9591
No log	2.0	146	0.0964	0.6723	0.7628	0.7147	0.9718
No log	3.0	219	0.1233	0.6447	0.7853	0.7081	0.9655
No log	4.0	292	0.1153	0.7563	0.7660	0.7611	0.9737
No log	5.0	365	0.1194	0.7265	0.8173	0.7692	0.9727
No log	6.0	438	0.1243	0.7286	0.8173	0.7704	0.9722
0.0974	7.0	511	0.1406	0.7202	0.7756	0.7469	0.9732
0.0974	8.0	584	0.1436	0.7406	0.7596	0.7500	0.9706
0.0974	9.0	657	0.1687	0.7524	0.7596	0.7560	0.9738
0.0974	10.0	730	0.1591	0.7394	0.7821	0.7601	0.9743
0.0974	11.0	803	0.1431	0.7619	0.8205	0.7901	0.9754
0.0974	12.0	876	0.1487	0.7477	0.7981	0.7721	0.9745
0.0974	13.0	949	0.1512	0.7764	0.8013	0.7886	0.9763
0.0043	14.0	1022	0.1532	0.7645	0.8013	0.7825	0.9754
0.0043	15.0	1095	0.1531	0.7720	0.8141	0.7925	0.9761
0.0043	16.0	1168	0.1590	0.7635	0.8173	0.7895	0.9756
0.0043	17.0	1241	0.1615	0.7559	0.8237	0.7883	0.9754
0.0043	18.0	1314	0.1624	0.7612	0.8173	0.7883	0.9759
0.0043	19.0	1387	0.1622	0.7574	0.8205	0.7877	0.9763
0.0043	20.0	1460	0.1620	0.7605	0.8141	0.7864	0.9765

reyhanemyr/roberta-base-finetuned-paper

roberta-base-finetuned-paper