sano90 / videomae-base-finetuned-ucf101-subset

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Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: May 27 2025
video-classification

Introduction of videomae-base-finetuned-ucf101-subset

Model Details of videomae-base-finetuned-ucf101-subset

videomae-base-finetuned-ucf101-subset

This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5156
  • Accuracy: 0.8387
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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 148
Training results
Training Loss Epoch Step Validation Loss Accuracy
2.1504 0.2568 38 1.8708 0.4714
1.0103 1.2568 76 1.1655 0.5
0.5141 2.2568 114 0.5303 0.8286
0.3177 3.2297 148 0.4511 0.8571
Framework versions
  • Transformers 4.46.3
  • Pytorch 2.0.1+cu117
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of sano90 videomae-base-finetuned-ucf101-subset on huggingface.co

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