Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1
0.5154	0.12	500	0.6116	0.6853	0.8147	0.6471	0.7213
0.4616	0.25	1000	0.6352	0.6946	0.7063	0.6902	0.6981
0.4422	0.38	1500	0.7289	0.69	0.7265	0.6771	0.7009
0.4228	0.5	2000	0.7194	0.6957	0.6575	0.7120	0.6836
0.4464	0.62	2500	0.6603	0.6926	0.6757	0.6994	0.6873
0.4142	0.75	3000	0.6885	0.6813	0.726	0.6664	0.6949
0.4273	0.88	3500	0.6638	0.69	0.7328	0.6750	0.7027
0.5912	1.0	4000	0.5640	0.7025	0.7113	0.6990	0.7051
0.4345	1.12	4500	0.7228	0.6949	0.6435	0.7172	0.6784
0.4336	1.25	5000	0.6732	0.6911	0.5915	0.7387	0.6569
0.4289	1.38	5500	0.6717	0.694	0.662	0.7073	0.6839
0.4219	1.5	6000	0.6760	0.6834	0.688	0.6817	0.6848
0.4175	1.62	6500	0.7393	0.6897	0.6757	0.6952	0.6853
0.4171	1.75	7000	0.7033	0.6797	0.597	0.7154	0.6509
0.4345	1.88	7500	0.6748	0.6874	0.6505	0.7023	0.6754
0.4063	2.0	8000	0.7267	0.6913	0.6098	0.7285	0.6639
0.3102	2.12	8500	1.0369	0.684	0.6308	0.7059	0.6662
0.3338	2.25	9000	1.0451	0.6846	0.6773	0.6874	0.6823
0.3257	2.38	9500	1.0364	0.682	0.6322	0.7021	0.6654
0.3235	2.5	10000	1.0224	0.6823	0.6315	0.7028	0.6653
0.3171	2.62	10500	1.1165	0.6859	0.6368	0.7061	0.6696
0.3266	2.75	11000	1.1109	0.6834	0.6315	0.7046	0.6661
0.2914	2.88	11500	1.1022	0.6829	0.6488	0.6963	0.6717
0.3041	3.0	12000	1.1065	0.6849	0.6615	0.6939	0.6773

Zritze/imdb-spoiler-distilbertOrigDatasetSampledOnly

imdb-spoiler-distilbertOrigDatasetSampledOnly