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README.md
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tags:
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- image-classification
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- vision
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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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---
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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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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 and evaluation data
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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
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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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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
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