ViT_ImageNette / 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": "tench",
"1": "English springer",
"2": "cassette player",
"3": "chain saw",
"4": "church",
"5": "French horn",
"6": "garbage truck",
"7": "gas pump",
"8": "golf ball",
"9": "parachute"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"English springer": 1,
"French horn": 5,
"cassette player": 2,
"chain saw": 3,
"church": 4,
"garbage truck": 6,
"gas pump": 7,
"golf ball": 8,
"parachute": 9,
"tench": 0
},
"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": "4.40.0"
}