torque-demo / config.json
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{
"_name_or_path": "apple/mobilevit-small",
"architectures": [
"MobileViTForImageClassification"
],
"aspp_dropout_prob": 0.1,
"aspp_out_channels": 256,
"atrous_rates": [
6,
12,
18
],
"attention_probs_dropout_prob": 0.0,
"classifier_dropout_prob": 0.1,
"conv_kernel_size": 3,
"expand_ratio": 4.0,
"hidden_act": "silu",
"hidden_dropout_prob": 0.1,
"hidden_sizes": [
144,
192,
240
],
"id2label": {
"0": " 60_cNm_Bronz_18",
"1": " 60_cNm_Bronz_20",
"2": " NG"
},
"image_size": 256,
"initializer_range": 0.02,
"label2id": {
" 60_cNm_Bronz_18": "0",
" 60_cNm_Bronz_20": "1",
" NG": "2"
},
"layer_norm_eps": 1e-05,
"mlp_ratio": 2.0,
"model_type": "mobilevit",
"neck_hidden_sizes": [
16,
32,
64,
96,
128,
160,
640
],
"num_attention_heads": 4,
"num_channels": 3,
"output_stride": 32,
"patch_size": 2,
"problem_type": "single_label_classification",
"qkv_bias": true,
"semantic_loss_ignore_index": 255,
"torch_dtype": "float32",
"transformers_version": "4.42.4"
}