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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: 2.904977560043335
+
+f1_macro: 0.27615937029199245
+
+f1_micro: 0.4006888633754305
+
+f1_weighted: 0.32749616976853335
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+precision_macro: 0.385087890462774
+
+precision_micro: 0.4006888633754305
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+precision_weighted: 0.41961043183265334
+
+recall_macro: 0.29885114383306066
+
+recall_micro: 0.4006888633754305
+
+recall_weighted: 0.4006888633754305
+
+accuracy: 0.4006888633754305

checkpoint-1308/config.json

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+    "6": "Balon_Golf",
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+    "8": "Balon_Tennis",
+    "9": "Balon_Tennis_Mesa",
+    "10": "Balon_Volleyball",
+    "11": "Camisas",
+    "12": "Fruta_Arandano",
+    "13": "Fruta_Banana",
+    "14": "Fruta_Cebolla Blanca",
+    "15": "Fruta_Cereza",
+    "16": "Fruta_Ciruela",
+    "17": "Fruta_Durazno",
+    "18": "Fruta_Frambuesa",
+    "19": "Fruta_Fresa",
+    "20": "Fruta_Granada",
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+    "24": "Fruta_Manzana Braeburn",
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+    "28": "Fruta_Passion Fruit",
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+    "32": "Fruta_Pi\u00f1a",
+    "33": "Fruta_Sandia",
+    "34": "Fruta_Tomate",
+    "35": "Fruta_Uva",
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+    "40": "gaseosa",
+    "41": "gorros"
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+  "problem_type": "single_label_classification",
+  "stage_names": [
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+    "stage2",
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