Upload ViTForImageClassification
Browse files- config.json +53 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "outputs",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"finetuning_task": "image-classification",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "SMT",
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"1": "angiodysplasia",
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"2": "bleeding",
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"3": "diverticulum",
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"4": "erosion",
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"5": "erythema",
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"6": "foreign body",
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"7": "lymph follicle",
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"8": "lymphangiectasia",
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"9": "no_class",
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"10": "polyp-like",
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"11": "stenosis"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"SMT": "0",
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"angiodysplasia": "1",
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"bleeding": "2",
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"diverticulum": "3",
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"erosion": "4",
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"erythema": "5",
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"foreign body": "6",
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"lymph follicle": "7",
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"lymphangiectasia": "8",
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"no_class": "9",
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"polyp-like": "10",
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"stenosis": "11"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.27.0.dev0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b45ffd0664ea6d51033a2c13ca237f6b66f705a6373acbcb46ca71dd699e123
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size 343296685
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