Edit model card


This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the cifar10 dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1333
  • Accuracy: 0.6224

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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 1337
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 100

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.1678 0.02 100 2.1333 0.6224

Framework versions

  • Transformers 4.15.0.dev0
  • Pytorch 1.10.0
  • Datasets 1.16.2.dev0
  • Tokenizers 0.10.2
Downloads last month
Hosted inference API
Drag image file here or click to browse from your device
This model can be loaded on the Inference API on-demand.

Dataset used to train michaelbenayoun/vit-base-beans

Evaluation results