Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1
0.6105	0.12	500	0.6234	0.6773	0.6109	0.5939	0.6023
0.5963	0.25	1000	0.6419	0.6639	0.7644	0.5583	0.6453
0.5762	0.38	1500	0.5893	0.6926	0.5069	0.6480	0.5688
0.574	0.5	2000	0.5756	0.6993	0.3856	0.7372	0.5064
0.5634	0.62	2500	0.5648	0.7075	0.4806	0.6940	0.5679
0.5486	0.75	3000	0.5749	0.7029	0.3931	0.7431	0.5142
0.5714	0.88	3500	0.5527	0.7117	0.5097	0.6888	0.5858
0.5531	1.0	4000	0.5533	0.7106	0.4938	0.6945	0.5772
0.5137	1.12	4500	0.5621	0.7065	0.5709	0.6520	0.6088
0.5009	1.25	5000	0.5999	0.7116	0.4891	0.6996	0.5757
0.4888	1.38	5500	0.5756	0.7059	0.6138	0.6375	0.6254
0.4878	1.5	6000	0.5934	0.7023	0.6356	0.6258	0.6307
0.5061	1.62	6500	0.5872	0.7117	0.5084	0.6894	0.5853
0.4876	1.75	7000	0.5670	0.7129	0.5453	0.6745	0.6031
0.5013	1.88	7500	0.5755	0.715	0.5066	0.6981	0.5871
0.4896	2.0	8000	0.5735	0.7116	0.5534	0.6686	0.6056
0.401	2.12	8500	0.6858	0.7041	0.5869	0.6425	0.6134
0.4035	2.25	9000	0.6965	0.7023	0.5444	0.6534	0.5939
0.3924	2.38	9500	0.7155	0.7013	0.5731	0.6417	0.6055
0.4007	2.5	10000	0.7029	0.7027	0.6078	0.6340	0.6206
0.3954	2.62	10500	0.7173	0.6991	0.6053	0.6287	0.6168
0.3991	2.75	11000	0.7011	0.7026	0.5566	0.6498	0.5996
0.3972	2.88	11500	0.7022	0.7017	0.5672	0.6445	0.6034
0.3841	3.0	12000	0.7032	0.7019	0.5778	0.6413	0.6079

Zritze/imdb-spoiler-distilbertOrigDataset6040

imdb-spoiler-distilbertOrigDataset6040