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d2o2ji/
videomae-base-finetuned-kinetics-0326_final_duration4

Name: videomae-base-finetuned-kinetics-0326_final_duration4
Availability: InStock

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videomae-base-finetuned-kinetics-0326_final_duration4

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:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 68700

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0049	0.01	687	0.6878	0.8185
0.0161	1.01	1374	0.5844	0.8088
0.6614	2.01	2061	0.3424	0.8857
0.5088	3.01	2748	0.9065	0.7650
0.2091	4.01	3435	0.9256	0.7626
0.009	5.01	4122	0.7178	0.8169
0.29	6.01	4809	0.7745	0.7212
0.7553	7.01	5496	0.7524	0.8088
0.0055	8.01	6183	0.7167	0.8152
0.5588	9.01	6870	1.0367	0.7682
0.6595	10.01	7557	1.1490	0.7820
0.6293	11.01	8244	1.0725	0.7455
0.5309	12.01	8931	0.9115	0.8096
0.0211	13.01	9618	1.1408	0.7609
0.0024	14.01	10305	1.0798	0.8006
0.2369	15.01	10992	1.2863	0.7763
0.0193	16.01	11679	1.5129	0.7601
0.0014	17.01	12366	1.1389	0.7804