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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+datasets:
+- 99spokes/autotrain-data-autotrain-uzhlw-t4qte
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+loss: nan
+
+f1_macro: 0.029761904761904757
+
+f1_micro: 0.09803921568627451
+
+f1_weighted: 0.01750700280112045
+
+precision_macro: 0.016339869281045753
+
+precision_micro: 0.09803921568627451
+
+precision_weighted: 0.009611687812379853
+
+recall_macro: 0.16666666666666666
+
+recall_micro: 0.09803921568627451
+
+recall_weighted: 0.09803921568627451
+
+accuracy: 0.09803921568627451

checkpoint-26/config.json

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+  "num_channels": 3,
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+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.1"
+}

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training_params.json

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+}