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

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

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

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: 2.3523
  • —Accuracy: 0.5071

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
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —training_steps: 6400

Training results

Training LossEpochStepValidation LossAccuracy
0.59050.128000.63970.795
0.89511.1216001.41400.6575
0.01212.1224001.06830.7212
0.00813.1232001.40440.6625
0.05314.1240000.79060.8237
0.00455.1248001.11090.7612
0.0176.1256001.87950.6462
0.67527.1264001.02820.79

Framework versions

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