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Training in progress, step 100
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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"
}