Training in progress, epoch 0

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "UnipaPolitoUnimore/vit-large-patch32-384-melanoma",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Melanoma",
+    "1": "Nevus",
+    "2": "Seborrheic_keratosis"
+  },
+  "image_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "Melanoma": 0,
+    "Nevus": 1,
+    "Seborrheic_keratosis": 2
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "patch_size": 32,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.0.dev0"
+}

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": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 384,
+    "width": 384
+  }
+}

pytorch_model.bin

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training_args.bin

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