kazuma313/cat_vs_dog_classification

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catvsdog_classification

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:

• —eval_loss: 0.0226
• —eval_accuracy: 0.9944
• —eval_runtime: 38.0768
• —evalsamplesper_second: 61.481
• —evalstepsper_second: 1.943
• —epoch: 1.2
• —step: 705

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: 3e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3

Framework versions

• —Transformers 4.37.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.17.1
• —Tokenizers 0.15.2