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dungeon-geo-morphs

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README.md CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
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  license: apache-2.0
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  base_model: google/vit-large-patch16-224
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - imagefolder
@@ -15,7 +16,7 @@ model-index:
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  name: Image Classification
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  type: image-classification
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  dataset:
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- name: imagefolder
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  type: imagefolder
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  config: default
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  split: validation
@@ -23,7 +24,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9946428571428572
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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
@@ -31,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-015
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- This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0968
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- - Accuracy: 0.9946
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  ## Model description
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  license: apache-2.0
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  base_model: google/vit-large-patch16-224
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  tags:
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+ - image-classification
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  - generated_from_trainer
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  datasets:
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  - imagefolder
 
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  name: Image Classification
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  type: image-classification
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  dataset:
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+ name: dungeon-geo-morphs
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  type: imagefolder
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  config: default
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  split: validation
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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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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  # vit-large-patch16-224-dungeon-geo-morphs-0-4-30Nov24-015
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+ This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the dungeon-geo-morphs dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1005
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+ - Accuracy: 0.9964
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  ## Model description
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