AICE_model / config.json
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{
"_name_or_path": "outputs",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"finetuning_task": "image-classification",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "SMT",
"1": "angiodysplasia",
"2": "bleeding",
"3": "diverticulum",
"4": "erosion",
"5": "erythema",
"6": "foreign body",
"7": "lymph follicle",
"8": "lymphangiectasia",
"9": "no_class",
"10": "polyp-like",
"11": "stenosis"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"SMT": "0",
"angiodysplasia": "1",
"bleeding": "2",
"diverticulum": "3",
"erosion": "4",
"erythema": "5",
"foreign body": "6",
"lymph follicle": "7",
"lymphangiectasia": "8",
"no_class": "9",
"polyp-like": "10",
"stenosis": "11"
},
"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": "4.27.0.dev0"
}