training_info.json

{
    "architecture": "GRUseq2seq",
    "model_name": "ECGDenoiser",
    "train_dataset": "PTB-XL+MIT-BIH-Noise-Stress-Test-Database",
    "biosignal": "ECG",
    "sampling_frequency": 360,
    "task": "ecg denoising: removing MA, BW and EM noise",
    "gpu_model": "NVIDIA GeForce GTX 1080 Ti",
    "epochs": 200,
    "optimizer": "Adam",
    "learning_rate": 0.005,
    "validation_loss": 0,
    "training_time": 0,
    "retraining": false,
    "efficiency_flops": 0,
    "efficiency_params": 26121
}