training_info.json

{
    "architecture": "GRUseq2seq",
    "model_name": "ECGPeakDetector",
    "train_dataset": "private_gib01",
    "biosignal": "ECG",
    "sampling_frequency": 360,
    "task": "peak detection",
    "gpu_model": "NVIDIA GeForce GTX 1080 Ti",
    "epochs": 80,
    "optimizer": "Adam (\nParameter Group 0\n    amsgrad: False\n    betas: (0.9, 0.999)\n    capturable: False\n    differentiable: False\n    eps: 1e-08\n    foreach: None\n    fused: None\n    initial_lr: 0.001\n    lr: 0.001\n    maximize: False\n    weight_decay: 1e-05\n)",
    "learning_rate": 0.001,
    "validation_loss": 0.14879398047924042,
    "training_time": 11375.492486476898,
    "retraining": false,
    "efficiency_flops": 0,
    "efficiency_params": 0
}