Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.5871	1.0	15	1.4971	0.3379	0.1821
1.4995	2.0	30	1.4588	0.3379	0.1707
1.464	3.0	45	1.4251	0.3655	0.2870
1.4105	4.0	60	1.4027	0.3793	0.2899
1.4269	5.0	75	1.3798	0.3793	0.2899
1.3835	6.0	90	1.3425	0.3724	0.3087
1.3885	7.0	105	1.3041	0.4069	0.3515
1.3286	8.0	120	1.3004	0.4621	0.4450
1.3572	9.0	135	1.2621	0.4345	0.3903
1.3176	10.0	150	1.2033	0.4552	0.4250
1.2509	11.0	165	1.1942	0.5034	0.4755
1.2781	12.0	180	1.1689	0.4828	0.4651
1.2156	13.0	195	1.1438	0.5034	0.4837
1.1518	14.0	210	1.1187	0.5034	0.4844
1.161	15.0	225	1.1013	0.5034	0.4858
1.1377	16.0	240	1.0882	0.5034	0.4796
1.1634	17.0	255	1.0692	0.5034	0.4860
1.0666	18.0	270	1.0591	0.5034	0.4772
1.1358	19.0	285	1.0455	0.5034	0.4736
1.1118	20.0	300	1.0313	0.5034	0.4872
1.0367	21.0	315	1.0228	0.5034	0.4853
1.0781	22.0	330	1.0106	0.5034	0.4857
1.0346	23.0	345	1.0034	0.5034	0.4935
1.1015	24.0	360	1.0032	0.5034	0.4806
1.0147	25.0	375	0.9911	0.5103	0.4903
1.0144	26.0	390	0.9856	0.5103	0.4972
1.022	27.0	405	0.9835	0.5103	0.4982
1.0218	28.0	420	0.9821	0.5103	0.4955
1.0173	29.0	435	0.9811	0.5103	0.4950
1.0241	30.0	450	0.9814	0.5103	0.4950

professorf/distilbert-base-uncased-finetuned-IAM

distilbert-base-uncased-finetuned-IAM