Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.8968	1.0	927	0.8552	0.6257	0.6508	0.5961	0.5969
0.7022	2.0	1854	1.1142	0.3937	0.3270	0.3273	0.2051
0.5569	3.0	2781	0.9130	0.6591	0.6566	0.6612	0.6509
0.363	4.0	3708	1.6630	0.6526	0.6634	0.6414	0.6436
0.2801	5.0	4635	2.0458	0.6451	0.6339	0.6345	0.6330
0.1925	6.0	5562	2.3378	0.6570	0.6439	0.6254	0.6277
0.1297	7.0	6489	2.5205	0.6839	0.6719	0.6651	0.6675
0.114	8.0	7416	2.8373	0.6505	0.6379	0.6249	0.6280
0.0994	9.0	8343	2.5358	0.6634	0.6539	0.6446	0.6474
0.0977	10.0	9270	2.8244	0.6537	0.6489	0.6210	0.6238
0.0623	11.0	10197	2.7593	0.6764	0.6602	0.6487	0.6510
0.0537	12.0	11124	2.9823	0.6677	0.6679	0.6450	0.6488
0.0432	13.0	12051	3.0792	0.6537	0.6465	0.6352	0.6378
0.0406	14.0	12978	3.0707	0.6688	0.6592	0.6509	0.6534
0.0296	15.0	13905	3.3289	0.6667	0.6596	0.6452	0.6486
0.0288	16.0	14832	3.2147	0.6645	0.6592	0.6512	0.6528
0.024	17.0	15759	3.3284	0.6645	0.6470	0.6405	0.6425
0.0201	18.0	16686	3.2428	0.6688	0.6515	0.6515	0.6515
0.0176	19.0	17613	3.2680	0.6710	0.6574	0.6536	0.6547
0.0168	20.0	18540	3.2912	0.6667	0.6513	0.6494	0.6502

dipteshkanojia/hing-roberta-NCM-run-1

hing-roberta-NCM-run-1