Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1
0.6356	0.12	500	0.6284	0.6763	0.7873	0.6442	0.7086
0.6047	0.25	1000	0.5933	0.6781	0.774	0.6495	0.7063
0.602	0.38	1500	0.5956	0.678	0.5305	0.7525	0.6223
0.5869	0.5	2000	0.6089	0.6877	0.7338	0.6719	0.7015
0.5776	0.62	2500	0.5846	0.6934	0.6983	0.6915	0.6949
0.5799	0.75	3000	0.6320	0.6851	0.7595	0.6612	0.7069
0.5793	0.88	3500	0.5819	0.6863	0.787	0.6550	0.7150
0.5684	1.0	4000	0.5720	0.6941	0.6723	0.7030	0.6873
0.5249	1.12	4500	0.5846	0.6946	0.6515	0.7130	0.6809
0.5117	1.25	5000	0.6313	0.6871	0.7652	0.6618	0.7098
0.5032	1.38	5500	0.6299	0.6933	0.62	0.7264	0.6690
0.4922	1.5	6000	0.6192	0.693	0.6677	0.7033	0.6850
0.4911	1.62	6500	0.6103	0.6939	0.6895	0.6956	0.6925
0.4967	1.75	7000	0.6010	0.6963	0.6787	0.7034	0.6908
0.4908	1.88	7500	0.6058	0.6963	0.682	0.7020	0.6919
0.4914	2.0	8000	0.6026	0.6964	0.664	0.7100	0.6862
0.3773	2.12	8500	0.7974	0.6904	0.6252	0.7189	0.6688
0.3788	2.25	9000	0.7835	0.6894	0.6985	0.6860	0.6922
0.3726	2.38	9500	0.7925	0.6824	0.6198	0.7085	0.6612
0.3785	2.5	10000	0.8013	0.6825	0.6687	0.6877	0.6781
0.372	2.62	10500	0.7720	0.6843	0.66	0.6936	0.6764
0.3489	2.75	11000	0.8167	0.6885	0.6697	0.6958	0.6825
0.3668	2.88	11500	0.8052	0.6855	0.6535	0.6982	0.6751
0.3567	3.0	12000	0.7942	0.687	0.691	0.6855	0.6882

Zritze/imdb-spoiler-distilbertOrigDatasetLR3

imdb-spoiler-distilbertOrigDatasetLR3