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d2o2ji/
videomae-base-finetuned-kinetics-base-finetuned-0210

Name: videomae-base-finetuned-kinetics-base-finetuned-0210
Availability: InStock

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videomae-base-finetuned-kinetics-base-finetuned-0210

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: 3825

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0103	0.0403	154	0.3845	0.8605
0.2216	1.0403	308	1.8650	0.6505
0.0049	2.0403	462	1.6628	0.6238
0.0019	3.0403	616	0.8134	0.6897
0.0002	4.0403	770	2.0519	0.6614
0.0158	5.0403	924	1.6577	0.6505
0.0003	6.0403	1078	1.3799	0.6473
0.0043	7.0403	1232	0.8596	0.7806
0.0006	8.0403	1386	0.9300	0.7868
2.1818	9.0403	1540	0.6332	0.7586
0.0009	10.0403	1694	2.1917	0.6458