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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: videomae-base-Vsl-Lab-PC-V10
    results: []

videomae-base-Vsl-Lab-PC-V10

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9720
  • Accuracy: 0.8584

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: 10
  • eval_batch_size: 10
  • 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: 160

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0 0.51 81 1.2591 0.8283
0.0001 1.49 160 0.9720 0.8584

Framework versions

  • Transformers 4.39.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2