autotrain_v2 / config.json
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{
"_name_or_path": "D:\\pythonproject\\model\\google-vit-base-patch16-224",
"_num_labels": 2,
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1024,
"id2label": {
"0": "11covered_with_a_quilt_and_only_the_head_exposed",
"1": "12covered_with_a_quilt_and_exposed_other_parts_of_the_body"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"11covered_with_a_quilt_and_only_the_head_exposed": 0,
"12covered_with_a_quilt_and_exposed_other_parts_of_the_body": 1
},
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 16,
"num_channels": 3,
"num_hidden_layers": 24,
"patch_size": 16,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.36.1"
}