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checkpoint-835/config.json

@@ -0,0 +1,132 @@
+{
+  "_name_or_path": "dima806/medicinal_plants_image_detection",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Amla",
+    "1": "Curry",
+    "2": "Betel",
+    "3": "Bamboo",
+    "4": "Palak(Spinach)",
+    "5": "Coriender",
+    "6": "Ashoka",
+    "7": "Seethapala",
+    "8": "Lemon_grass",
+    "9": "Pappaya",
+    "10": "Curry_Leaf",
+    "11": "Lemon",
+    "12": "Nooni",
+    "13": "Henna",
+    "14": "Mango",
+    "15": "Doddpathre",
+    "16": "Amruta_Balli",
+    "17": "Betel_Nut",
+    "18": "Tulsi",
+    "19": "Pomegranate",
+    "20": "Castor",
+    "21": "Jackfruit",
+    "22": "Insulin",
+    "23": "Pepper",
+    "24": "Raktachandini",
+    "25": "Aloevera",
+    "26": "Jasmine",
+    "27": "Doddapatre",
+    "28": "Neem",
+    "29": "Geranium",
+    "30": "Rose",
+    "31": "Gauva",
+    "32": "Hibiscus",
+    "33": "Nithyapushpa",
+    "34": "Wood_sorel",
+    "35": "Tamarind",
+    "36": "Guava",
+    "37": "Bhrami",
+    "38": "Sapota",
+    "39": "Basale",
+    "40": "Avacado",
+    "41": "Ashwagandha",
+    "42": "Nagadali",
+    "43": "Arali",
+    "44": "Ekka",
+    "45": "Ganike",
+    "46": "Tulasi",
+    "47": "Honge",
+    "48": "Mint",
+    "49": "Catharanthus",
+    "50": "Papaya",
+    "51": "Brahmi"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "Ashoka": 6,
+    "Ashwagandha": 41,
+    "Avacado": 40,
+    "Bamboo": 3,
+    "Basale": 39,
+    "Betel": 2,
+    "Betel_Nut": 17,
+    "Bhrami": 37,
+    "Brahmi": 51,
+    "Castor": 20,
+    "Catharanthus": 49,
+    "Coriender": 5,
+    "Curry": 1,
+    "Curry_Leaf": 10,
+    "Doddapatre": 27,
+    "Doddpathre": 15,
+    "Ekka": 44,
+    "Ganike": 45,
+    "Gauva": 31,
+    "Geranium": 29,
+    "Guava": 36,
+    "Henna": 13,
+    "Hibiscus": 32,
+    "Honge": 47,
+    "Insulin": 22,
+    "Jackfruit": 21,
+    "Jasmine": 26,
+    "Lemon": 11,
+    "Lemon_grass": 8,
+    "Mango": 14,
+    "Mint": 48,
+    "Nagadali": 42,
+    "Neem": 28,
+    "Nithyapushpa": 33,
+    "Nooni": 12,
+    "Palak(Spinach)": 4,
+    "Papaya": 50,
+    "Pappaya": 9,
+    "Pepper": 23,
+    "Pomegranate": 19,
+    "Raktachandini": 24,
+    "Rose": 30,
+    "Sapota": 38,
+    "Seethapala": 7,
+    "Tamarind": 35,
+    "Tulasi": 46,
+    "Tulsi": 18,
+    "Wood_sorel": 34
+  },
+  "layer_norm_eps": 1e-12,
+  "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": "4.40.0"
+}

checkpoint-835/model.safetensors

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checkpoint-835/optimizer.pt

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checkpoint-835/preprocessor_config.json

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checkpoint-835/rng_state.pth

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checkpoint-835/trainer_state.json

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checkpoint-835/training_args.bin

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config.json

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   "qkv_bias": true,
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 }

model.safetensors

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preprocessor_config.json

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