{
  "model_type": "MCTnet",
  "class_names": [
    "AFIB",
    "AFL",
    "LBBB",
    "Normal",
    "RBBB"
  ],
  "n_classes": 5,
  "seq_len": 5000,
  "sampling_rate": 500,
  "d_model": 128,
  "n_heads": 4,
  "n_layers": 4,
  "dropout": 0.2,
  "ld_emb_dim": 32,
  "val_macro_f1": 0.8198,
  "framework": "pytorch"
}