{
  "_name_or_path": "google/efficientnet-b0",
  "architectures": [
    "EfficientNetForImageClassification"
  ],
  "batch_norm_eps": 0.001,
  "batch_norm_momentum": 0.99,
  "depth_coefficient": 1.0,
  "depth_divisor": 8,
  "depthwise_padding": [],
  "drop_connect_rate": 0.2,
  "dropout_rate": 0.2,
  "expand_ratios": [
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  ],
  "hidden_act": "swish",
  "hidden_dim": 1280,
  "id2label": {
    "0": "benign",
    "1": "malignant",
    "2": "normal thyroid"
  },
  "image_size": 224,
  "in_channels": [
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  "initializer_range": 0.02,
  "kernel_sizes": [
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  ],
  "label2id": {
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    "malignant": 1,
    "normal thyroid": 2
  },
  "model_type": "efficientnet",
  "num_block_repeats": [
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    3,
    4,
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  ],
  "num_channels": 3,
  "num_hidden_layers": 64,
  "out_channels": [
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    192,
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  ],
  "out_features": null,
  "pooling_type": "mean",
  "problem_type": "single_label_classification",
  "squeeze_expansion_ratio": 0.25,
  "stage_names": [
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    "stage1",
    "stage2",
    "stage3",
    "stage4",
    "stage5",
    "stage6",
    "stage7"
  ],
  "strides": [
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  ],
  "torch_dtype": "float32",
  "transformers_version": "4.41.0",
  "width_coefficient": 1.0
}