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: 0.0826
  • Accuracy: 0.9857
  • F1: 0.9858

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 OptimizerNames.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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.4261 0.2568 38 0.4304 0.8286 0.7838
0.1438 1.2568 76 0.2029 0.9143 0.9114
0.0618 2.2568 114 0.1453 0.9429 0.9427
0.034 3.2297 148 0.0826 0.9857 0.9858

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.4.1
  • Datasets 2.19.1
  • Tokenizers 0.20.0
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