Indian-sign-language-classification
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0327
- Accuracy: 0.9905
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2504 | 1.0 | 2137 | 0.0731 | 0.9800 |
| 0.0519 | 2.0 | 4274 | 0.0327 | 0.9905 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/vit-base-patch16-224-in21k