| runner: | |
| total_steps: 30000 | |
| gradient_clipping: 1 | |
| gradient_accumulate_steps: 4 | |
| log_step: 500 | |
| eval_step: 500 | |
| save_step: 500 | |
| max_keep: 1 | |
| eval_dataloaders: | |
| - dev | |
| optimizer: | |
| name: TorchOptim | |
| torch_optim_name: Adam | |
| lr: 1.0e-4 | |
| downstream_expert: | |
| datarc: | |
| chunk_size: 2000 | |
| subsampling: 1 | |
| label_delay: 0 | |
| num_speakers: 2 | |
| rate: 16000 | |
| frame_shift: null | |
| loaderrc: | |
| num_workers: 8 | |
| train_batchsize: 8 | |
| eval_batchsize: 1 | |
| train_dir: ./downstream/diarization/data/train | |
| dev_dir: ./downstream/diarization/data/dev | |
| test_dir: ./downstream/diarization/data/test | |
| scorerc: | |
| save_predictions: True | |
| modelrc: | |
| rnn_layers: 1 | |
| hidden_size: 512 | |