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Update README.md

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@@ -8,14 +8,14 @@ tags:
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  metrics:
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  - accuracy
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  model-index:
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- - name: Wildfire Dectection
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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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  should probably proofread and complete it, then remove this comment. -->
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- # fine_tuned_wildfire
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  This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the
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  [Kaggle Wildfire Dataset](https://www.kaggle.com/datasets/elmadafri/the-wildfire-dataset) dataset.
@@ -23,19 +23,8 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.2329
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  - Accuracy: 0.9202
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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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
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  metrics:
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  - accuracy
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  model-index:
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+ - name: wildfire-classifier
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # Wildfire classifier
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  This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the
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  [Kaggle Wildfire Dataset](https://www.kaggle.com/datasets/elmadafri/the-wildfire-dataset) dataset.
 
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  - Loss: 0.2329
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  - Accuracy: 0.9202
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+ ## Fine-tunning
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+ TOOD: Add finetuning notebook
 
 
 
 
 
 
 
 
 
 
 
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  ### Training hyperparameters
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