cats-dogs-classification

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

• Loss: 6.5504
• Accuracy: 0.5005

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0378	1.0	2500	0.0288	0.9932
0.0084	2.0	5000	0.0277	0.9944
0.0028	3.0	7500	0.0180	0.9962

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.0+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1