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README.md

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+
+---
+tags:
+- autotrain
+- image-classification
+base_model: Falconsai/nsfw_image_detection
+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: 0.5076770186424255
+
+f1_macro: 0.9034486384853411
+
+f1_micro: 0.9506314580941446
+
+f1_weighted: 0.9453900122810057
+
+precision_macro: 0.9375712446090816
+
+precision_micro: 0.9506314580941446
+
+precision_weighted: 0.9538751552377964
+
+recall_macro: 0.89997224997225
+
+recall_micro: 0.9506314580941446
+
+recall_weighted: 0.9506314580941446
+
+accuracy: 0.9506314580941446

checkpoint-1308/config.json

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+  "architectures": [
+    "ViTForImageClassification"
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+    "0": "Balon_Baseball",
+    "1": "Balon_Basketball",
+    "2": "Balon_Billar",
+    "3": "Balon_Bolos",
+    "4": "Balon_Futbol",
+    "5": "Balon_Futbol_Americano",
+    "6": "Balon_Golf",
+    "7": "Balon_Rugby",
+    "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",
+    "21": "Fruta_Kiwi",
+    "22": "Fruta_Limon",
+    "23": "Fruta_Mango",
+    "24": "Fruta_Manzana Braeburn",
+    "25": "Fruta_Mazorca",
+    "26": "Fruta_Naranja",
+    "27": "Fruta_Papaya",
+    "28": "Fruta_Passion Fruit",
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+    "30": "Fruta_Pimenton Rojo",
+    "31": "Fruta_Pimenton Verde",
+    "32": "Fruta_Pi\u00f1a",
+    "33": "Fruta_Sandia",
+    "34": "Fruta_Tomate",
+    "35": "Fruta_Uva",
+    "36": "Mesas",
+    "37": "Pantalones",
+    "38": "Vasos",
+    "39": "Zapatos",
+    "40": "gaseosa",
+    "41": "gorros"
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+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2"
+}

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