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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+base_model: microsoft/resnet-50
+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
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metrics
+loss: 3.142681837081909
+
+f1_macro: 0.02830170335299915
+
+f1_micro: 0.20643939393939395
+
+f1_weighted: 0.09619191663674405
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+precision_macro: 0.03697093460585543
+
+precision_micro: 0.20643939393939395
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+precision_weighted: 0.0998764466790715
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+recall_macro: 0.05223286714505793
+
+recall_micro: 0.20643939393939395
+
+recall_weighted: 0.20643939393939395
+
+accuracy: 0.20643939393939395

checkpoint-792/config.json

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+    "3": "Avocado",
+    "4": "Banana",
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+    "7": "Carrots",
+    "8": "Cucumber",
+    "9": "Garlic",
+    "10": "Ginger",
+    "11": "Juice",
+    "12": "Kiwi",
+    "13": "Leek",
+    "14": "Lemon",
+    "15": "Lime",
+    "16": "Mango",
+    "17": "Melon",
+    "18": "Milk",
+    "19": "Nectarine",
+    "20": "Oat-Milk",
+    "21": "Oatghurt",
+    "22": "Onion",
+    "23": "Orange",
+    "24": "Papaya",
+    "25": "Passion-Fruit",
+    "26": "Peach",
+    "27": "Pear",
+    "28": "Pepper",
+    "29": "Pineapple",
+    "30": "Plum",
+    "31": "Pomegranate",
+    "32": "Potato",
+    "33": "Red-Beet",
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+    "35": "Satsumas",
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+    "37": "Sour-Milk",
+    "38": "Soy-Milk",
+    "39": "Soyghurt",
+    "40": "Tomato",
+    "41": "Yoghurt",
+    "42": "Zucchini"
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+  "out_indices": [
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+  "problem_type": "single_label_classification",
+  "stage_names": [
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