Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	81	0.1846	0.6825	0.4845	0.5667	0.9497
No log	2.0	162	0.1238	0.6952	0.6873	0.6912	0.9671
No log	3.0	243	0.1032	0.7351	0.7662	0.7503	0.9711
No log	4.0	324	0.1060	0.8169	0.7915	0.8040	0.9767
No log	5.0	405	0.1144	0.7892	0.7803	0.7847	0.9743
No log	6.0	486	0.1257	0.7378	0.8085	0.7715	0.9706
0.1393	7.0	567	0.1392	0.7379	0.8169	0.7754	0.9705
0.1393	8.0	648	0.1333	0.7304	0.7859	0.7571	0.9709
0.1393	9.0	729	0.1419	0.7539	0.8113	0.7815	0.9725
0.1393	10.0	810	0.1570	0.7385	0.8113	0.7732	0.9712
0.1393	11.0	891	0.1645	0.7318	0.7915	0.7605	0.9704
0.1393	12.0	972	0.1586	0.7506	0.8141	0.7811	0.9733
0.0126	13.0	1053	0.1589	0.7474	0.8169	0.7806	0.9747
0.0126	14.0	1134	0.1616	0.7527	0.7972	0.7743	0.9737
0.0126	15.0	1215	0.1642	0.7410	0.8141	0.7758	0.9736
0.0126	16.0	1296	0.1725	0.7429	0.8056	0.7730	0.9726
0.0126	17.0	1377	0.1686	0.7487	0.8056	0.7761	0.9737
0.0126	18.0	1458	0.1657	0.7533	0.8	0.7760	0.9740
0.0034	19.0	1539	0.1716	0.7493	0.8085	0.7778	0.9738
0.0034	20.0	1620	0.1716	0.7586	0.8056	0.7814	0.9734

reyhanemyr/roberta-base-finetuned-papernew

roberta-base-finetuned-papernew