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vit-base-uppercase-english-characters

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

  • Loss: 0.3160
  • Accuracy: 0.9573

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
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.5944 1.35 100 0.5538 0.9487
0.2241 2.7 200 0.3160 0.9573

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.0
  • Datasets 2.1.0
  • Tokenizers 0.13.2
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