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