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Commit From AutoTrain

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  1. .gitattributes +3 -0
  2. README.md +37 -0
  3. config.json +3 -0
  4. preprocessor_config.json +3 -0
  5. pytorch_model.bin +3 -0
.gitattributes CHANGED
@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
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+ *.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - vision
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+ - image-classification
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+ datasets:
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+ - sasha/autotrain-data-sea-slug-similarity
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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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+ co2_eq_emissions:
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+ emissions: 13.759124872304856
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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: Multi-class Classification
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+ - Model ID: 2498977005
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+ - CO2 Emissions (in grams): 13.7591
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.757
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+ - Accuracy: 0.837
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+ - Macro F1: 0.778
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+ - Micro F1: 0.837
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+ - Weighted F1: 0.816
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+ - Macro Precision: 0.787
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+ - Micro Precision: 0.837
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+ - Weighted Precision: 0.825
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+ - Macro Recall: 0.796
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+ - Micro Recall: 0.837
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+ - Weighted Recall: 0.837
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