| downstream_expert: | |
| datarc: | |
| batch_size: 32 | |
| bucket_file: /data/lewis/superb/LibriSpeech/len_for_bucket | |
| decoder_args: | |
| beam: 5 | |
| beam_threshold: 25 | |
| criterion: ctc | |
| decoder_type: None | |
| kenlm_model: /path/to/KenLM | |
| lexicon: /path/to/4-gram.arpa | |
| lm_weight: 2 | |
| nbest: 1 | |
| sil_weight: 0 | |
| unk_weight: -math.inf | |
| word_score: -1 | |
| dev-clean: | |
| - dev-clean | |
| dev-other: | |
| - dev-other | |
| dict_path: ./downstream/asr/char.dict | |
| eval_batch_size: 1 | |
| libri_root: /data/lewis/superb/LibriSpeech | |
| num_workers: 12 | |
| test-clean: | |
| - test-clean | |
| test-other: | |
| - test-other | |
| train: | |
| - train-clean-100 | |
| train_batch_size: 32 | |
| zero_infinity: true | |
| modelrc: | |
| RNNs: | |
| bidirection: true | |
| dim: | |
| - 1024 | |
| - 1024 | |
| dropout: | |
| - 0.2 | |
| - 0.2 | |
| layer_norm: | |
| - false | |
| - false | |
| module: LSTM | |
| proj: | |
| - false | |
| - false | |
| sample_rate: | |
| - 1 | |
| - 1 | |
| sample_style: concat | |
| total_rate: -1 | |
| Wav2Letter: | |
| total_rate: 320 | |
| project_dim: 1024 | |
| select: RNNs | |
| optimizer: | |
| lr: 0.0001 | |
| name: TorchOptim | |
| torch_optim_name: Adam | |
| runner: | |
| eval_dataloaders: | |
| - dev-clean | |
| eval_step: 2000 | |
| gradient_accumulate_steps: 1 | |
| gradient_clipping: 1 | |
| log_step: 100 | |
| max_keep: 1 | |
| save_step: 500 | |
| total_steps: 2000 | |
| specaug: | |
| apply_freq_mask: true | |
| apply_time_mask: true | |
| apply_time_warp: true | |
| freq_mask_width_range: | |
| - 0 | |
| - 50 | |
| num_freq_mask: 4 | |
| num_time_mask: 2 | |
| time_mask_width_range: | |
| - 0 | |
| - 40 | |
| time_warp_window: 5 | |