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yehiawp4/vivit-b-16x2-kinetics400-finetuned-caer-subset

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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vivit-b-16x2-kinetics400-finetuned-caer-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: 1.8413
  • —Accuracy: 0.2330

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: 350

Training results

Training LossEpochStepValidation LossAccuracy
1.80920.561961.97460.1707
1.43531.443501.84800.2439

Framework versions

  • —Transformers 4.38.2
  • —Pytorch 2.1.0
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2