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{
"_name_or_path": "google/mobilenet_v2_1.0_224",
"architectures": [
"MobileNetV2ForImageClassification"
],
"classifier_dropout_prob": 0.2,
"depth_divisible_by": 8,
"depth_multiplier": 1.0,
"expand_ratio": 6,
"finegrained_output": true,
"first_layer_is_expansion": true,
"hidden_act": "relu6",
"id2label": {
"0": "calling",
"1": "clapping",
"10": "running",
"11": "sitting",
"12": "sleeping",
"13": "texting",
"14": "using_laptop",
"2": "cycling",
"3": "dancing",
"4": "drinking",
"5": "eating",
"6": "fighting",
"7": "hugging",
"8": "laughing",
"9": "listening_to_music"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"calling": "0",
"clapping": "1",
"cycling": "2",
"dancing": "3",
"drinking": "4",
"eating": "5",
"fighting": "6",
"hugging": "7",
"laughing": "8",
"listening_to_music": "9",
"running": "10",
"sitting": "11",
"sleeping": "12",
"texting": "13",
"using_laptop": "14"
},
"layer_norm_eps": 0.001,
"min_depth": 8,
"model_type": "mobilenet_v2",
"num_channels": 3,
"output_stride": 32,
"problem_type": "single_label_classification",
"semantic_loss_ignore_index": 255,
"tf_padding": true,
"torch_dtype": "float32",
"transformers_version": "4.41.2"
}
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