vit_cats-vs-dogs

This model is a fine-tuned version of Manu8/vit_cifar on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.4201
• eval_accuracy: 0.819
• eval_runtime: 12.7705
• eval_samples_per_second: 391.527
• eval_steps_per_second: 1.566
• epoch: 1.0
• step: 2500

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 256
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 10
• num_epochs: 50

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.15.0