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@@ -4,7 +4,11 @@ base_model: facebook/dinov2-base-imagenet1k-1-layer
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  tags:
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  - image-classification
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  - vision
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- - generated_from_trainer
 
 
 
 
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  metrics:
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  - accuracy
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  - f1
@@ -14,6 +18,8 @@ metrics:
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  model-index:
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  - name: dinov2-base-imagenet1k-1-layer-boulderspot-vN
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -22,6 +28,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # dinov2-base-imagenet1k-1-layer-boulderspot-vN
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  This model is a fine-tuned version of [facebook/dinov2-base-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-base-imagenet1k-1-layer) on the pszemraj/boulderspot dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0519
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  - Accuracy: 0.9810
@@ -38,10 +45,6 @@ More information needed
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  More information needed
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- ## Training and evaluation data
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-
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- More information needed
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-
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  ## Training procedure
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  ### Training hyperparameters
@@ -74,4 +77,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.39.2
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  - Pytorch 2.4.0.dev20240328+cu121
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  - Datasets 2.18.0
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- - Tokenizers 0.15.2
 
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  tags:
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  - image-classification
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  - vision
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+ - boulderspot
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+ - climbing
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+ - aerial imagery
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+ - remote sensing
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+ - bouldering
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  metrics:
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  - accuracy
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  - f1
 
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  model-index:
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  - name: dinov2-base-imagenet1k-1-layer-boulderspot-vN
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  results: []
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+ datasets:
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+ - pszemraj/boulderspot
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # dinov2-base-imagenet1k-1-layer-boulderspot-vN
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  This model is a fine-tuned version of [facebook/dinov2-base-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-base-imagenet1k-1-layer) on the pszemraj/boulderspot dataset.
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+
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0519
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  - Accuracy: 0.9810
 
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  More information needed
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  ## Training procedure
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  ### Training hyperparameters
 
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  - Transformers 4.39.2
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  - Pytorch 2.4.0.dev20240328+cu121
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  - Datasets 2.18.0
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+ - Tokenizers 0.15.2