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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