Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.7601	1.0	12	0.6966	0.2564	0.4518	0.0
0.6757	2.0	24	0.5629	0.6667	0.7785	0.0
0.5796	3.0	36	0.4652	0.6286	0.7477	0.0
0.5026	4.0	48	0.4161	0.6479	0.7605	0.0
0.4282	5.0	60	0.3830	0.6849	0.7862	0.0
0.4085	6.0	72	0.3658	0.7273	0.7962	0.0
0.3847	7.0	84	0.3538	0.7353	0.8052	0.0
0.3829	8.0	96	0.3457	0.6761	0.7772	0.0
0.3758	9.0	108	0.3409	0.6857	0.7810	0.0
0.3487	10.0	120	0.3327	0.7143	0.7976	0.0
0.3421	11.0	132	0.3268	0.6866	0.7758	0.0
0.3351	12.0	144	0.3183	0.7059	0.7886	0.0
0.3245	13.0	156	0.3149	0.7246	0.8014	0.0
0.3191	14.0	168	0.3087	0.7246	0.8014	0.1
0.3083	15.0	180	0.3066	0.7429	0.8142	0.2
0.3061	16.0	192	0.3062	0.7429	0.8142	0.2
0.2935	17.0	204	0.3017	0.7429	0.8142	0.2
0.2888	18.0	216	0.3009	0.7429	0.8142	0.2
0.297	19.0	228	0.3022	0.7429	0.8142	0.2
0.2868	20.0	240	0.3014	0.7429	0.8142	0.2

nguyenkhoa2407/favs-filtersort-multilabel-classification-bert-base-cased

favs-filtersort-multilabel-classification-bert-base-cased