Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "msi-vit-small-pretrain",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 384,
+  "id2label": {
+    "0": "ADI",
+    "1": "BACK",
+    "2": "DEB",
+    "3": "LYM",
+    "4": "MUC",
+    "5": "MUS",
+    "6": "NORM",
+    "7": "STR",
+    "8": "TUM"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
+    "ADI": "0",
+    "BACK": "1",
+    "DEB": "2",
+    "LYM": "3",
+    "MUC": "4",
+    "MUS": "5",
+    "NORM": "6",
+    "STR": "7",
+    "TUM": "8"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 6,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.0"
+}

model.safetensors

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+size 87114636

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.69261899,
+    0.51298305,
+    0.7263637
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.13099993,
+    0.18332116,
+    0.14441279
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

training_args.bin

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+size 4219