model:
    chemical_species: auto

    cutoff: 5.0
    irreps_manual:
    - 128x0e
    - 128x0e+64x1e+32x2e+32x3e
    - 128x0e+64x1e+32x2e+32x3e
    - 128x0e+64x1e+32x2e+32x3e
    - 128x0e+64x1e+32x2e+32x3e
    - 128x0e
    channel: 128
    lmax: 3
    num_convolution_layer: 5
    is_parity: false
    radial_basis:
        radial_basis_name: bessel
        bessel_basis_num: 8
    cutoff_function:
        cutoff_function_name: poly_cut
        poly_cut_p_value: 6

    act_radial: silu
    weight_nn_hidden_neurons:
    - 64
    - 64
    act_scalar:
        e: silu
        o: tanh
    act_gate:
        e: silu
        o: tanh

    train_denominator: false
    train_shift_scale: false
    use_bias_in_linear: false

    readout_as_fcn: false
    self_connection_type: linear
    interaction_type: nequip

train:
    random_seed: 1
    epoch: 600
    loss: Huber
    loss_param:
        delta: 0.01
    optimizer: adam
    optim_param:
        lr: 0.01
    scheduler: linearlr
    scheduler_param:
        start_factor: 1.0
        total_iters: 600
        end_factor: 0.0001
    force_loss_weight: 1.0
    stress_loss_weight: 0.01
    per_epoch: 10
    is_train_stress: true
    train_shuffle: true
    error_record:
    -   - Energy
        - MAE
    -   - Energy
        - RMSE
    -   - Force
        - MAE
    -   - Force
        - RMSE
    -   - Stress
        - MAE
    -   - Stress
        - RMSE
    -   - Energy
        - Loss
    -   - Force
        - Loss
    -   - Stress
        - Loss
    -   - TotalLoss
        - None
    best_metric: TotalLoss
data:
    data_format: ase
    data_format_args: {}

    batch_size: 1024  # global batch size, should be divided by the number of GPUs

    load_trainset_path: '**path_to_trainset**'
    load_validset_path: '**path_to_validset**'
    shift: 'elemwise_reference_energies'
    scale: 'force_rms'