| criterion: | |
| fake_weight: 1.0 | |
| feat_dim: 1024 | |
| model_class: OCSoftmaxK | |
| n_center: 25 | |
| real_weight: 9.0 | |
| data: | |
| augment_type: rawboost | |
| batch_size: 192 | |
| data_path: dataset_meta/ASVspoof2019 | |
| do_augment: true | |
| max_samples: 64000 | |
| model_class: GeneralFAD | |
| num_workers: 12 | |
| test_batch_size: 64 | |
| test_num_workers: 4 | |
| upsample: false | |
| model: | |
| cuda: 0 | |
| frontend: XLSR | |
| frontend_path: /mount/studenten/arbeitsdaten-studenten3/advanced-ml/2022/YixuanXiao/workenv/fad/download/model/xlsr2_300m.pt | |
| model_class: XLSRTimeAttnOnly | |
| num_classes: 1 | |
| train: | |
| beta1: 0.9 | |
| beta2: 0.999 | |
| log_interval: 20 | |
| lr: 0.0001 | |
| lr_gamma: 0.5 | |
| lr_step_size: 20 | |
| max_epoch: 100 | |
| max_steps: 10000000000 | |
| patience: 10 | |
| start_steps: 0 | |
| validate_interval: 10000000000 | |
| weight_decay: 0.0001 | |