Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.5454	1.0	136	0.4135	0.0125	0.5030	0.0
0.3917	2.0	272	0.3582	0.2939	0.5855	0.0338
0.3405	3.0	408	0.3048	0.4862	0.6649	0.0827
0.2918	4.0	544	0.2753	0.5913	0.7250	0.1278
0.2531	5.0	680	0.2285	0.7261	0.8065	0.2406
0.214	6.0	816	0.1971	0.7684	0.8328	0.3233
0.181	7.0	952	0.1663	0.8199	0.8624	0.4173
0.1529	8.0	1088	0.1431	0.8591	0.8905	0.4774
0.1307	9.0	1224	0.1224	0.8979	0.9260	0.6090
0.1108	10.0	1360	0.1034	0.9195	0.9329	0.6955
0.0961	11.0	1496	0.0920	0.9435	0.9553	0.7744
0.0821	12.0	1632	0.0793	0.9559	0.9627	0.8346
0.0719	13.0	1768	0.0682	0.9636	0.9732	0.8759
0.0612	14.0	1904	0.0618	0.9651	0.9760	0.8947
0.0526	15.0	2040	0.0519	0.9757	0.9796	0.9135
0.0456	16.0	2176	0.0468	0.9778	0.9835	0.9248
0.0394	17.0	2312	0.0396	0.9854	0.9885	0.9586
0.0343	18.0	2448	0.0372	0.9855	0.9911	0.9586
0.0299	19.0	2584	0.0329	0.9854	0.9885	0.9586
0.0266	20.0	2720	0.0289	0.9887	0.9932	0.9887
0.0233	21.0	2856	0.0264	0.9874	0.9919	0.9812
0.0212	22.0	2992	0.0258	0.9887	0.9932	0.9887
0.02	23.0	3128	0.0242	0.9887	0.9932	0.9887
0.0177	24.0	3264	0.0217	0.9924	0.9955	0.9887
0.0162	25.0	3400	0.0200	0.9887	0.9932	0.9887
0.0146	26.0	3536	0.0201	0.9906	0.9951	0.9887
0.0136	27.0	3672	0.0192	0.9906	0.9951	0.9887
0.0127	28.0	3808	0.0169	0.9924	0.9955	0.9887

pasithbas159/multilabel_transfer_learning_transformer

multilabel_transfer_learning_transformer