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Wei-Meng
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autotrain-kee7d-srgvj

Image Classification
Transformers
Safetensors
vit
Trained with AutoTrain
Inference Endpoints
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  1. README.md +42 -0
  2. checkpoint-9/config.json +35 -0
  3. checkpoint-9/model.safetensors +3 -0
  4. checkpoint-9/optimizer.pt +3 -0
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  7. checkpoint-9/trainer_state.json +129 -0
  8. checkpoint-9/training_args.bin +3 -0
  9. config.json +35 -0
  10. model.safetensors +3 -0
  11. preprocessor_config.json +22 -0
  12. training_args.bin +3 -0
  13. 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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+ 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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+ datasets:
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+ - autotrain-kee7d-srgvj/autotrain-data
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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 Metricsg
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+ loss: 0.6576321721076965
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+
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+ f1_macro: 0.8222222222222223
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+ f1_micro: 0.8333333333333334
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+ f1_weighted: 0.8222222222222223
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+ precision_macro: 0.8888888888888888
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+ precision_micro: 0.8333333333333334
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+ precision_weighted: 0.8888888888888888
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+ recall_macro: 0.8333333333333334
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+ recall_micro: 0.8333333333333334
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+ recall_weighted: 0.8333333333333334
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+
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+ accuracy: 0.8333333333333334
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