Training in progress, step 100

config.json

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+{
+  "_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": "No Finding",
+    "1": "Atelectasis",
+    "10": "Edema",
+    "11": "Emphysema",
+    "12": "Fibrosis",
+    "13": "Pleural_Thickening",
+    "14": "Hernia",
+    "2": "Cardiomegaly",
+    "3": "Effusion",
+    "4": "Infiltration",
+    "5": "Mass",
+    "6": "Nodule",
+    "7": "Pneumonia",
+    "8": "Pneumothorax",
+    "9": "Consolidation"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Atelectasis": "1",
+    "Cardiomegaly": "2",
+    "Consolidation": "9",
+    "Edema": "10",
+    "Effusion": "3",
+    "Emphysema": "11",
+    "Fibrosis": "12",
+    "Hernia": "14",
+    "Infiltration": "4",
+    "Mass": "5",
+    "No Finding": "0",
+    "Nodule": "6",
+    "Pleural_Thickening": "13",
+    "Pneumonia": "7",
+    "Pneumothorax": "8"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "multi_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3"
+}

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preprocessor_config.json

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