{
  "model_type": "eeg-to-text",
  "architecture": "RawNet",
  "eeg_channels": 4,
  "sample_rate": 256,
  "d_model": 256,
  "num_encoder_layers": 3,
  "num_decoder_layers": 4,
  "best_epoch": "N/A",
  "val_loss": 0.0
}