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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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- imagefolder
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metrics:
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- accuracy
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- f1
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# vit-base-patch16-224-in21k-Landscape_Recognition
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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).
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It achieves the following results on the evaluation set:
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- Loss: 0.4648
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- Accuracy: 0.8687
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
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| 0.2866 | 1.0 | 625 | 0.4308 | 0.8487 | 0.8538 | 0.8487 | 0.8538 | 0.8487 | 0.8487 | 0.8487 | 0.8700 | 0.8487 | 0.8700 |
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| 0.1522 | 2.0 | 1250 | 0.4648 | 0.8687 | 0.8694 | 0.8687 | 0.8694 | 0.8687 | 0.8687 | 0.8687 | 0.8714 | 0.8687 | 0.8714 |
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license: apache-2.0
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tags:
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- generated_from_trainer
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- Landscape
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metrics:
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- accuracy
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- f1
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# vit-base-patch16-224-in21k-Landscape_Recognition
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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).
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It achieves the following results on the evaluation set:
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- Loss: 0.4648
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- Accuracy: 0.8687
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- F1
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- Weighted: 0.8694
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- Micro: 0.8687
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- Macro: 0.8694
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- Recall
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- Weighted: 0.8687
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- Micro: 0.8687
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- Macro: 0.8687
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- Precision
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- Weighted: 0.8714
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- Micro: 0.8687
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- Macro: 0.8714
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 | Weighted Recall | Micro Recall | Macro Recall | Weighted Precision | Micro Precision | Macro Precision |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
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| 0.2866 | 1.0 | 625 | 0.4308 | 0.8487 | 0.8538 | 0.8487 | 0.8538 | 0.8487 | 0.8487 | 0.8487 | 0.8700 | 0.8487 | 0.8700 |
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| 0.1522 | 2.0 | 1250 | 0.4648 | 0.8687 | 0.8694 | 0.8687 | 0.8694 | 0.8687 | 0.8687 | 0.8687 | 0.8714 | 0.8687 | 0.8714 |
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