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kharato/
videomae-finetuned

Name: videomae-finetuned
Availability: InStock

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videomae-finetuned

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7657	0.05	432	0.6104	0.8243
0.4011	1.05	864	0.4283	0.8896
0.301	2.05	1296	0.3957	0.8833
0.2967	3.05	1728	0.3066	0.9138
0.229	4.05	2160	0.3268	0.9092
0.2185	5.05	2592	0.2865	0.9281
0.1863	6.05	3024	0.2550	0.9320
0.1386	7.05	3456	0.2366	0.9422
0.1542	8.05	3888	0.2162	0.9449
0.1396	9.05	4320	0.2069	0.9424
0.1323	10.05	4752	0.2021	0.9486
0.1008	11.05	5184	0.2408	0.9465
0.0756	12.05	5616	0.2023	0.9509
0.0628	13.05	6048	0.1730	0.9609
0.0747	14.05	6480	0.1747	0.9622
0.047	15.05	6912	0.1698	0.9629
0.0586	16.05	7344	0.1412	0.9668
0.0644	17.05	7776	0.1314	0.9704
0.0521	18.05	8208	0.1343	0.9688
0.0516	19.05	8620	0.1289	0.9706