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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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- datasets:
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- - imagefolder
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  metrics:
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  - accuracy
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  - f1
@@ -33,18 +32,22 @@ pipeline_tag: image-classification
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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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- - Weighted f1: 0.8694
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- - Micro f1: 0.8687
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- - Macro f1: 0.8694
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- - Weighted recall: 0.8687
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- - Micro recall: 0.8687
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- - Macro recall: 0.8687
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- - Weighted precision: 0.8714
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- - Micro precision: 0.8687
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- - Macro precision: 0.8714
 
 
 
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  ## Model description
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@@ -79,7 +82,7 @@ The following hyperparameters were used during training:
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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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  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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+
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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 |