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d2o2ji/
videomae-base-finetuned-kinetics-0321-abnormal_val02_pretest_addnon

Name: videomae-base-finetuned-kinetics-0321-abnormal_val02_pretest_addnon
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videomae-base-finetuned-kinetics-0321-abnormal_val02_pretest_addnon

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: 83700

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6666	0.0100	838	0.3534	0.8740
0.0454	1.0100	1676	0.2409	0.8967
0.0079	2.0100	2514	0.4467	0.8316
0.0207	3.0100	3352	0.4880	0.8740
0.0013	4.0100	4190	0.2610	0.9172
0.5462	5.0100	5028	0.3095	0.8818
0.0099	6.0100	5866	0.3489	0.8868
0.001	7.0100	6704	0.2514	0.9314
0.0006	8.0100	7542	0.3673	0.9144
0.0001	9.0100	8380	0.3359	0.9073
0.1953	10.0100	9218	0.3062	0.9271
0.0005	11.0100	10056	0.3899	0.9151
0.0267	12.0100	10894	0.3479	0.9222
0.0005	13.0100	11732	0.3962	0.9186
0.0001	14.0100	12570	0.3964	0.9193
0.0004	15.0100	13408	0.5327	0.9052
0.0	16.0100	14246	0.3658	0.9299
0.0008	17.0100	15084	0.5465	0.9087