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README.md
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- Loss: 0.0549
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- Accuracy: 0.9805
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## Model description
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ConvNeXT is a pure convolutional model (ConvNet), inspired by the design of Vision Transformers, that claims to outperform them. The authors started from a ResNet and "modernized" its design by taking the Swin Transformer as inspiration.
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| 0.1435 | 3.0 | 2154 | 0.0549 | 0.9805 |
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### Drag and drop the following pics in the left widget to test the model
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![image1](https://huggingface.co/mrm8488/convnext-tiny-finetuned-eurosat/resolve/main/test1.jpg)
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![image2](https://huggingface.co/mrm8488/convnext-tiny-finetuned-eurosat/resolve/main/test2.jpg)
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### Framework versions
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- Transformers 4.18.0
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- Loss: 0.0549
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- Accuracy: 0.9805
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#### Drag and drop the following pics in the right widget to test the model
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![image1](https://huggingface.co/mrm8488/convnext-tiny-finetuned-eurosat/resolve/main/test1.jpg)
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![image2](https://huggingface.co/mrm8488/convnext-tiny-finetuned-eurosat/resolve/main/test2.jpg)
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## Model description
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ConvNeXT is a pure convolutional model (ConvNet), inspired by the design of Vision Transformers, that claims to outperform them. The authors started from a ResNet and "modernized" its design by taking the Swin Transformer as inspiration.
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| 0.1435 | 3.0 | 2154 | 0.0549 | 0.9805 |
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### Framework versions
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- Transformers 4.18.0
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