| data_type: shard | |
| dataloader_args: | |
| batch_size: 128 | |
| drop_last: true | |
| num_workers: 16 | |
| pin_memory: false | |
| prefetch_factor: 8 | |
| dataset_args: | |
| aug_prob: 0.6 | |
| fbank_args: | |
| dither: 1.0 | |
| frame_length: 25 | |
| frame_shift: 10 | |
| num_mel_bins: 80 | |
| filter: true | |
| filter_args: | |
| max_num_frames: 800 | |
| min_num_frames: 100 | |
| num_frms: 200 | |
| resample_rate: 16000 | |
| sample_num_per_epoch: 0 | |
| shuffle: true | |
| shuffle_args: | |
| shuffle_size: 2500 | |
| spec_aug: false | |
| spec_aug_args: | |
| max_f: 8 | |
| max_t: 10 | |
| num_f_mask: 1 | |
| num_t_mask: 1 | |
| prob: 0.6 | |
| speed_perturb: true | |
| enable_amp: false | |
| exp_dir: exp/samresnet34/ | |
| gpus: | |
| - 0 | |
| - 1 | |
| log_batch_interval: 100 | |
| loss: CrossEntropyLoss | |
| loss_args: {} | |
| margin_scheduler: MarginScheduler | |
| margin_update: | |
| epoch_iter: 4265 | |
| final_margin: 0.2 | |
| fix_start_epoch: 40 | |
| increase_start_epoch: 20 | |
| increase_type: exp | |
| initial_margin: 0.0 | |
| update_margin: true | |
| model: SimAM_ResNet34_ASP | |
| model_args: | |
| embed_dim: 256 | |