Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.8465	1.0	91	0.7610	0.6817	0.6643	0.6806	0.6817
0.5154	2.0	182	0.4672	0.8066	0.8082	0.8203	0.8066
0.331	3.0	273	0.4259	0.8393	0.8396	0.8407	0.8393
0.2461	4.0	364	0.5386	0.8315	0.8311	0.8405	0.8315
0.163	5.0	455	0.5392	0.8518	0.8496	0.8554	0.8518
0.1193	6.0	546	0.5441	0.8565	0.8559	0.8590	0.8565
0.0935	7.0	637	0.6496	0.8253	0.8218	0.8306	0.8253
0.0536	8.0	728	0.5461	0.8612	0.8609	0.8609	0.8612
0.0809	9.0	819	0.6680	0.8362	0.8350	0.8394	0.8362
0.0986	10.0	910	0.6303	0.8596	0.8597	0.8645	0.8596
0.0765	11.0	1001	0.7653	0.8300	0.8310	0.8511	0.8300
0.0507	12.0	1092	0.5176	0.8690	0.8691	0.8701	0.8690
0.0633	13.0	1183	0.9141	0.8268	0.8261	0.8370	0.8268
0.0529	14.0	1274	0.7537	0.8549	0.8552	0.8621	0.8549
0.0418	15.0	1365	0.9200	0.8346	0.8342	0.8441	0.8346
0.0151	16.0	1456	0.8578	0.8565	0.8549	0.8622	0.8565
0.0154	17.0	1547	0.8116	0.8752	0.8758	0.8778	0.8752
0.0054	18.0	1638	0.8926	0.8736	0.8733	0.8751	0.8736
0.0259	19.0	1729	0.9026	0.8705	0.8705	0.8709	0.8705
0.0036	20.0	1820	0.9616	0.8721	0.8713	0.8716	0.8721
0.0012	21.0	1911	0.9985	0.8658	0.8656	0.8655	0.8658
0.002	22.0	2002	0.9833	0.8690	0.8689	0.8688	0.8690

avinasht/finbert_bert-base-uncased

finbert_bert-base-uncased