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wild_cat_classification

This model is a fine-tuned version of vgg19 pre-trained model. It achieves the following results on the evaluation set:

  • Loss: 0.0095
  • Accuracy: 0.9600

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-02
  • train_batch_size: 64
  • eval_batch_size: 64
  • optimizer: SGD
  • num_epochs: 1

Training results

Training Loss Epoch Batch
0.0620 1.0 3/37
0.0425 1.0 6/37
0.0390 1.0 9/37
0.0258 1.0 12/37
0.0152 1.0 15/37
0.0180 1.0 18/37
0.0225 1.0 21/37
0.0129 1.0 24/37
0.0479 1.0 27/37
0.0231 1.0 30/37
0.0168 1.0 33/37
0.0095 1.0 36/37

Framework versions

  • Pytorch 2.1.0+cu121
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Evaluation results

  • Accuracy on https://www.kaggle.com/datasets/gpiosenka/cats-in-the-wild-image-classification
    self-reported
    0.960