Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.7905	1.0	97	0.6913	0.7504	0.7471	0.7458	0.7504
0.3516	2.0	194	0.3914	0.8476	0.8480	0.8517	0.8476
0.2545	3.0	291	0.3302	0.8882	0.8870	0.8911	0.8882
0.1225	4.0	388	0.3488	0.8723	0.8730	0.8801	0.8723
0.0674	5.0	485	0.3910	0.8970	0.8961	0.8963	0.8970
0.0458	6.0	582	0.4545	0.9028	0.9022	0.9036	0.9028
0.0963	7.0	679	0.3467	0.9100	0.9100	0.9104	0.9100
0.0781	8.0	776	0.4528	0.8999	0.8991	0.8996	0.8999
0.0961	9.0	873	0.3966	0.9042	0.9049	0.9091	0.9042
0.0643	10.0	970	0.3486	0.9158	0.9159	0.9160	0.9158
0.0521	11.0	1067	0.5745	0.8955	0.8931	0.9030	0.8955
0.0162	12.0	1164	0.4968	0.9042	0.9047	0.9070	0.9042
0.0106	13.0	1261	0.4925	0.9158	0.9161	0.9171	0.9158
0.0056	14.0	1358	0.5128	0.9129	0.9126	0.9149	0.9129
0.0116	15.0	1455	0.4791	0.9202	0.9199	0.9197	0.9202
0.0004	16.0	1552	0.4417	0.9216	0.9214	0.9218	0.9216
0.0121	17.0	1649	0.4378	0.9202	0.9199	0.9205	0.9202
0.0003	18.0	1746	0.4624	0.9245	0.9245	0.9247	0.9245
0.0001	19.0	1843	0.4697	0.9274	0.9275	0.9277	0.9274
0.0001	20.0	1940	0.4649	0.9303	0.9303	0.9303	0.9303

avinasht/FPB_finetuned_v1

FPB_finetuned_v1