nateraw/vit-base-cats-vs-dogs

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vit-base-cats-vs-dogs

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the catsvsdogs dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0202
• —Accuracy: 0.9935

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: 0.0002
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 1337
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.8.1
• —Pytorch 1.9.0+cu102
• —Datasets 1.11.1.dev0
• —Tokenizers 0.10.3