{
  "_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"
}