Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1
0.6534	0.12	500	0.6320	0.6492	0.563	0.6804	0.6161
0.6063	0.25	1000	0.6027	0.6705	0.8425	0.6269	0.7189
0.6026	0.38	1500	0.6011	0.6584	0.4462	0.7751	0.5664
0.5868	0.5	2000	0.5930	0.6964	0.747	0.6783	0.7110
0.577	0.62	2500	0.5836	0.6941	0.7558	0.6728	0.7119
0.579	0.75	3000	0.6345	0.6961	0.7638	0.6728	0.7154
0.5776	0.88	3500	0.5909	0.6861	0.8055	0.6503	0.7196
0.5694	1.0	4000	0.5655	0.7023	0.6683	0.7170	0.6918
0.5312	1.12	4500	0.5695	0.7055	0.663	0.7246	0.6924
0.5205	1.25	5000	0.5820	0.7001	0.7552	0.6803	0.7158
0.514	1.38	5500	0.6030	0.7027	0.617	0.7447	0.6749
0.5016	1.5	6000	0.5826	0.7054	0.7	0.7076	0.7038
0.5062	1.62	6500	0.5947	0.6966	0.6165	0.7341	0.6702
0.5064	1.75	7000	0.5775	0.7027	0.637	0.7334	0.6818
0.4958	1.88	7500	0.5792	0.7104	0.6865	0.7209	0.7033
0.4952	2.0	8000	0.5890	0.7135	0.668	0.7349	0.6998
0.3958	2.12	8500	0.7381	0.6957	0.59	0.7483	0.6598
0.4058	2.25	9000	0.7212	0.6985	0.6707	0.7102	0.6899
0.3944	2.38	9500	0.7299	0.689	0.6132	0.7227	0.6635
0.3787	2.5	10000	0.7261	0.691	0.6368	0.7142	0.6733
0.3831	2.62	10500	0.7347	0.6935	0.6365	0.7184	0.6750
0.3788	2.75	11000	0.7983	0.6937	0.6455	0.7144	0.6782
0.3741	2.88	11500	0.7642	0.6931	0.6408	0.7157	0.6762
0.3763	3.0	12000	0.7518	0.6965	0.6703	0.7074	0.6883

Zritze/imdb-spoiler-bertOrigDataset

imdb-spoiler-bertOrigDataset