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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: 0.0130
  • Accuracy: 1.0

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
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 375

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0087 0.8 300 0.0249 1.0
0.0048 1.2 375 0.0141 1.0

Framework versions

  • Transformers 4.42.4
  • Pytorch 1.13.1+cu117
  • Datasets 2.19.2
  • Tokenizers 0.19.1
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