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# vit-base-cat-emotions
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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 the custom dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0160
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- Accuracy: 0.6353
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You can try out the model live [here](https://cat-emotion-classifier.streamlit.app/), and check out the [GitHub repository](https://github.com/semihdervis/cat-emotion-classifier) for more details.
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## Model description
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More information needed
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# vit-base-cat-emotions
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You can try out the model live [here](https://cat-emotion-classifier.streamlit.app/), and check out the [GitHub repository](https://github.com/semihdervis/cat-emotion-classifier) for more details.
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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 the custom dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0160
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- Accuracy: 0.6353
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## Model description
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More information needed
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