raffaelsiregar/dog-breeds-classification

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Dog Breeds Classification

This model is a fine-tuned version of google/vit-base-patch16-224 on 71 Dog Breeds-Image Data Set (Kaggle). It achieves the following results on the evaluation set:

• —Loss: 0.0763
• —Accuracy: 0.9743

Model description

This Model is a Transfer Learning-based model and trained with the size of 224x224 pixels. This model can predict dog with 71 classes of breeds.

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: 0.0002
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.0.1
• —Tokenizers 0.19.1