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d2o2ji/
videomae-base-finetuned-kinetics-0325_final

Name: videomae-base-finetuned-kinetics-0325_final
Rating: 2.5 (8 reviews)

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videomae-base-finetuned-kinetics-0325_final

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
0.0467	0.01	687	0.2513	0.9300
0.0084	1.01	1374	0.4972	0.8741
0.0529	2.01	2061	0.2346	0.9045
0.6585	3.01	2748	0.6326	0.8165
0.6976	4.01	3435	0.7723	0.8165
0.5654	5.01	4122	0.5031	0.8593
0.2582	6.01	4809	1.0343	0.7720
0.6946	7.01	5496	0.9468	0.7975
0.0285	8.01	6183	0.5327	0.8370
0.4778	9.01	6870	1.1722	0.7292
0.955	10.01	7557	0.6246	0.8609
0.3365	11.01	8244	0.9516	0.7728
0.0242	12.01	8931	0.6680	0.8354
0.338	13.01	9618	1.0590	0.8066
0.4445	14.01	10305	0.4882	0.8872
0.294	15.01	10992	1.1611	0.7350