class Config:
    model_name = "BirdAST_Baseline_5folds"
    backbone_name = "MIT/ast-finetuned-audioset-10-10-0.4593"
    n_classes = 728 # number of classes in the dataset
    audio_sr = 16000 #Hz
    segment_length = 10  #s
    fft_window = 0.025 #s
    hop_window_length = 0.01 #s
    n_mels = 128
    low_cut = 1000 #Hz
    high_cut = 8000 #Hz
    top_db = 100
    batch_size = 4 
    num_workers = 0
    n_splits = 5
    max_lr = 1e-5
    epochs = 15
    weight_decay = 0.01
    lr_final_div = 1000
    amp = True
    grad_accum_steps = 1
    max_grad_norm = 1e7
    print_epoch_freq = 1
    print_freq = 500
    random_seed = 2046