{
  "model_type": "small_audio_classifier_mlp",
  "torch_dtype": "float32",
  "input_dim": 6144,
  "num_labels": 10,
  "hidden_dims": [
    512,
    256
  ],
  "dropout": 0.2,
  "activation": "gelu",
  "task": "audio_classification",
  "outputs": {
    "logits": "float32[batch, num_labels]"
  },
  "preprocessing": {
    "expected_input": "flattened log-mel spectrogram or other fixed-length audio features",
    "example_logmel": {
      "n_mels": 64,
      "n_frames": 96,
      "flatten": true,
      "input_dim": 6144
    },
    "note": "compute features outside the model; this model is intentionally tiny for assignments"
  },
  "id2label": {
    "0": "class_0",
    "1": "class_1",
    "2": "class_2",
    "3": "class_3",
    "4": "class_4",
    "5": "class_5",
    "6": "class_6",
    "7": "class_7",
    "8": "class_8",
    "9": "class_9"
  },
  "label2id": {
    "class_0": 0,
    "class_1": 1,
    "class_2": 2,
    "class_3": 3,
    "class_4": 4,
    "class_5": 5,
    "class_6": 6,
    "class_7": 7,
    "class_8": 8,
    "class_9": 9
  },
  "version": "0.1.0"
}