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README.md
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---
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license: apache-2.0
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tags:
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- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-uppercase-english-characters
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-uppercase-english-characters
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3160
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- Accuracy: 0.9573
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.5944 | 1.35 | 100 | 0.5538 | 0.9487 |
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| 0.2241 | 2.7 | 200 | 0.3160 | 0.9573 |
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### Framework versions
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