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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:
+- abhishek/autotrain-data-i6l7-e3p1-lu90
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metricsg
+loss: nan
+
+f1_macro: 0.06153846153846154
+
+f1_micro: 0.18181818181818182
+
+f1_weighted: 0.055944055944055944
+
+precision_macro: 0.03636363636363636
+
+precision_micro: 0.18181818181818182
+
+precision_weighted: 0.03305785123966942
+
+recall_macro: 0.2
+
+recall_micro: 0.18181818181818182
+
+recall_weighted: 0.18181818181818182
+
+accuracy: 0.18181818181818182

checkpoint-275/config.json

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+    "4": "tulip"
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+    "sunflower": 3,
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+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.1"
+}

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preprocessor_config.json

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+}