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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: 991262442243755631422586792733310976.0000
  • Accuracy: 0.5455

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: 1
  • eval_batch_size: 1
  • 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: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy
872310942836251954510729370121797632.0000 0.5 10 991262442243755631422586792733310976.0000 0.5455
872310942836251954510729370121797632.0000 1.5 20 991262442243755631422586792733310976.0000 0.5455

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cpu
  • Datasets 2.16.0
  • Tokenizers 0.15.0
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