Modelpublic

lmazzon70/videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8

sourceHugging Facecc-by-nc-4.0updated 4y agoView on Hugging Face

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Model Card

videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8

This model is a fine-tuned version of MCG-NJU/videomae-base-short-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:

—Loss: 0.7821
—Accuracy: 0.6713

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

—learning_rate: 5e-05
—trainbatchsize: 2
—evalbatchsize: 2
—seed: 42
—gradientaccumulationsteps: 4
—totaltrainbatch_size: 8
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—lrschedulerwarmup_ratio: 0.1
—training_steps: 3200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4247	0.06	200	0.4205	0.8063
0.4125	1.06	400	0.6749	0.72
0.3265	2.06	600	1.3838	0.5763
0.2204	3.06	800	0.6725	0.7275
0.2965	4.06	1000	0.4583	0.8263
0.1883	5.06	1200	0.3786	0.8488
0.1321	6.06	1400	1.6632	0.5962
0.369	7.06	1600	0.6018	0.8063
0.3764	8.06	1800	0.8546	0.74
0.2401	9.06	2000	0.5422	0.825
0.1943	10.06	2200	0.5868	0.8113
0.1352	11.06	2400	0.7111	0.8063
0.2276	12.06	2600	0.8847	0.7812
0.149	13.06	2800	0.8581	0.7837
0.0848	14.06	3000	0.8707	0.7788
0.046	15.06	3200	0.7914	0.7963

Framework versions

—Transformers 4.25.1
—Pytorch 1.13.1+cu117
—Datasets 2.8.0
—Tokenizers 0.13.2