Training Loss	Epoch	Step	Validation Loss	Accuracy
2.6212	0.03	38	2.3629	0.3774
2.455	1.03	76	2.3674	0.2170
2.4311	2.03	114	2.2191	0.3231
2.2768	3.03	152	2.1227	0.3608
1.7528	4.03	190	1.7296	0.4363
1.5381	5.03	228	1.5016	0.4340
1.407	6.03	266	1.2878	0.5448
1.1053	7.03	304	1.5210	0.4009
1.0893	8.03	342	1.3902	0.4623
0.8136	9.03	380	1.6456	0.4033
0.9565	10.03	418	1.1826	0.5613
1.0147	11.03	456	1.2099	0.5118
0.9125	12.03	494	1.1850	0.5495
0.7091	13.03	532	1.2324	0.5354
0.7361	14.03	570	1.0225	0.6226
0.6979	15.03	608	1.0738	0.5590
0.5265	16.03	646	1.1062	0.5873
0.5651	17.03	684	1.1402	0.5802
0.7182	18.03	722	1.0974	0.5802
0.6582	19.03	760	1.0529	0.6179
0.5709	20.03	798	0.9655	0.6344
0.4808	21.03	836	1.0441	0.6226
0.5816	22.03	874	0.9445	0.6439
0.5057	23.03	912	1.0248	0.6321
0.6253	24.03	950	0.9518	0.6604
0.6841	25.03	988	0.8913	0.6745
0.5933	26.03	1026	0.9013	0.6439
0.389	27.03	1064	0.9090	0.6627
0.3705	28.03	1102	0.8936	0.6722
0.6043	29.01	1110	0.8942	0.6722

steveice/videomae-base-finetuned-engine-subset-20230313

videomae-base-finetuned-engine-subset-20230313