Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1
0.6259	0.12	500	0.6002	0.6654	0.8678	0.6177	0.7217
0.6023	0.25	1000	0.5728	0.6967	0.7188	0.6885	0.7033
0.5944	0.38	1500	0.5763	0.6899	0.6733	0.6964	0.6846
0.5716	0.5	2000	0.5725	0.7013	0.749	0.6837	0.7149
0.5923	0.62	2500	0.5662	0.7016	0.7678	0.6781	0.7201
0.5623	0.75	3000	0.5659	0.7023	0.7328	0.6906	0.7111
0.5718	0.88	3500	0.5767	0.6964	0.7913	0.6651	0.7227
0.5806	1.0	4000	0.5622	0.7046	0.731	0.6944	0.7122
0.5209	1.12	4500	0.5955	0.7056	0.6392	0.7371	0.6847
0.5144	1.25	5000	0.5796	0.703	0.6422	0.7311	0.6838
0.5148	1.38	5500	0.5865	0.7019	0.634	0.7336	0.6802
0.5105	1.5	6000	0.5807	0.7009	0.651	0.7231	0.6852
0.5087	1.62	6500	0.6044	0.7036	0.6985	0.7057	0.7021
0.4908	1.75	7000	0.5882	0.7007	0.6362	0.7305	0.6801
0.5169	1.88	7500	0.5801	0.7064	0.7332	0.6958	0.7141
0.4886	2.0	8000	0.5835	0.7063	0.6817	0.7169	0.6989
0.3996	2.12	8500	0.6838	0.6951	0.6215	0.7288	0.6709
0.4148	2.25	9000	0.6718	0.6961	0.686	0.7002	0.6930
0.4015	2.38	9500	0.6784	0.6991	0.6893	0.7031	0.6961
0.412	2.5	10000	0.6613	0.6965	0.654	0.7148	0.6830
0.3976	2.62	10500	0.7028	0.699	0.681	0.7064	0.6935
0.4023	2.75	11000	0.7049	0.6937	0.6502	0.7122	0.6798
0.3955	2.88	11500	0.6993	0.6936	0.6615	0.7069	0.6835
0.3851	3.0	12000	0.7018	0.6949	0.6715	0.7044	0.6876

Zritze/imdb-spoiler-distilbertOrigDataset

imdb-spoiler-distilbertOrigDataset