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Image Classification
TensorBoard
Safetensors
vit
Trained with AutoTrain
Model card Files
xet
 Metrics Community
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  1. README.md +31 -0
  2. autotrain-data/dataset_dict.json +1 -0
  3. autotrain-data/train/data-00000-of-00001.arrow +3 -0
  4. autotrain-data/train/dataset_info.json +366 -0
  5. autotrain-data/train/state.json +13 -0
  6. autotrain-data/validation/data-00000-of-00001.arrow +3 -0
  7. autotrain-data/validation/dataset_info.json +366 -0
  8. autotrain-data/validation/state.json +13 -0
  9. checkpoint-72/config.json +33 -0
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  11. checkpoint-72/optimizer.pt +3 -0
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  15. checkpoint-72/training_args.bin +3 -0
  16. config.json +33 -0
  17. model.safetensors +3 -0
  18. preprocessor_config.json +23 -0
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  20. runs/Jan07_19-06-40_RCON/events.out.tfevents.1736273213.RCON.9708.1 +3 -0
  21. training_args.bin +3 -0
  22. training_params.json +29 -0
README.md ADDED
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+
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+ ---
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+ tags:
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+ - autotrain
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+ - image-classification
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+ base_model: google/vit-base-patch16-224
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+ widget:
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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+ example_title: Tiger
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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+ example_title: Teapot
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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+ example_title: Palace
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ - Problem type: Image Classification
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+
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+ ## Validation Metrics
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+ loss: 0.0012908950448036194
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+
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+ f1: 1.0
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+
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+ precision: 1.0
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+
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+ recall: 1.0
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+
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+ auc: 1.0
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+
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+ accuracy: 1.0
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