fine_tuned_vit / config.json
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{
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "pizza",
"1": "hamburger",
"2": "sushi",
"3": "caesar_salad",
"4": "spaghetti_bolognese",
"5": "ice_cream",
"6": "fried_rice",
"7": "tacos",
"8": "steak",
"9": "chocolate_cake"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"caesar_salad": 3,
"chocolate_cake": 9,
"fried_rice": 6,
"hamburger": 1,
"ice_cream": 5,
"pizza": 0,
"spaghetti_bolognese": 4,
"steak": 8,
"sushi": 2,
"tacos": 7
},
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"pooler_act": "tanh",
"pooler_output_size": 768,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.51.3"
}