Training in progress, step 500

config.json

@@ -0,0 +1,88 @@
+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "acerolas",
+    "1": "apples",
+    "10": "figs",
+    "11": "grapefruits",
+    "12": "grapes",
+    "13": "guava",
+    "14": "kiwifruit",
+    "15": "lemons",
+    "16": "limes",
+    "17": "mangos",
+    "18": "olives",
+    "19": "oranges",
+    "2": "apricots",
+    "20": "passionfruit",
+    "21": "peaches",
+    "22": "pears",
+    "23": "pineapples",
+    "24": "plums",
+    "25": "pomegranates",
+    "26": "raspberries",
+    "27": "strawberries",
+    "28": "tomatoes",
+    "29": "watermelons",
+    "3": "avocados",
+    "4": "bananas",
+    "5": "blackberries",
+    "6": "blueberries",
+    "7": "cantaloupes",
+    "8": "cherries",
+    "9": "coconuts"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "acerolas": "0",
+    "apples": "1",
+    "apricots": "2",
+    "avocados": "3",
+    "bananas": "4",
+    "blackberries": "5",
+    "blueberries": "6",
+    "cantaloupes": "7",
+    "cherries": "8",
+    "coconuts": "9",
+    "figs": "10",
+    "grapefruits": "11",
+    "grapes": "12",
+    "guava": "13",
+    "kiwifruit": "14",
+    "lemons": "15",
+    "limes": "16",
+    "mangos": "17",
+    "olives": "18",
+    "oranges": "19",
+    "passionfruit": "20",
+    "peaches": "21",
+    "pears": "22",
+    "pineapples": "23",
+    "plums": "24",
+    "pomegranates": "25",
+    "raspberries": "26",
+    "strawberries": "27",
+    "tomatoes": "28",
+    "watermelons": "29"
+  },
+  "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": "4.38.2"
+}

model.safetensors

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preprocessor_config.json

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+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
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+    0.5,
+    0.5
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+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "width": 224
+  }
+}

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training_args.bin

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