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Asadali12/vivit-b-16x2-kinetics400-finetuned-ucf101-subset

sourceHugging Facemitupdated 2y agoView on Hugging Face
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vivit-b-16x2-kinetics400-finetuned-ucf101-subset

This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0303
  • —Accuracy: 0.9937

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: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —training_steps: 1200

Training results

Training LossEpochStepValidation LossAccuracy
0.32790.253000.03730.9922
0.02051.256000.00471.0
0.00072.259000.04220.9875
0.00073.2512000.03030.9937

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.0.1+cu117
  • —Datasets 3.0.0
  • —Tokenizers 0.19.1