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d2o2ji/
videomae-base-finetuned-kinetics-0212-ntu-2

Name: videomae-base-finetuned-kinetics-0212-ntu-2
Availability: InStock

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videomae-base-finetuned-kinetics-0212-ntu-2

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: 5940

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1975	0.0333	198	0.3443	0.8467
0.017	1.0333	396	1.2150	0.6015
0.6709	2.0333	594	0.6020	0.7425
0.0109	3.0333	792	0.8232	0.7719
0.0345	4.0333	990	0.5279	0.7848
0.0015	5.0333	1188	1.0265	0.6389
0.0008	6.0333	1386	0.4482	0.8289
0.002	7.0333	1584	1.3104	0.7216
0.0015	8.0333	1782	0.9066	0.7964
0.0004	9.0333	1980	0.6252	0.8228
0.0003	10.0333	2178	0.7319	0.8326