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vivit-b-16x2-kinetics400-ft-6906

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: 0.8594
  • Accuracy: 0.6102

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: 880

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.0172 0.2511 221 0.9912 0.5317
1.0646 1.2511 442 0.9282 0.5732
0.7174 2.2511 663 0.8824 0.6041
0.8446 3.2466 880 0.8700 0.6120

Framework versions

  • Transformers 4.41.2
  • Pytorch 1.13.0+cu117
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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