| batch_size: 128 | |
| clip_duration_ms: 1500 | |
| eval_step_interval: 500 | |
| features: | |
| - features_dir: /workspace/tm2/wake/features/wakeword | |
| penalty_weight: 1.0 | |
| sampling_weight: 2.0 | |
| truncation_strategy: truncate_start | |
| truth: true | |
| type: mmap | |
| - features_dir: /workspace/tm2/wake/features/near | |
| penalty_weight: 1.0 | |
| sampling_weight: 6.0 | |
| truncation_strategy: truncate_start | |
| truth: false | |
| type: mmap | |
| - features_dir: /workspace/tm2/wake/features/speech | |
| penalty_weight: 1.0 | |
| sampling_weight: 10.0 | |
| truncation_strategy: random | |
| truth: false | |
| type: mmap | |
| - features_dir: /workspace/tm2/wake/features/noise | |
| penalty_weight: 1.0 | |
| sampling_weight: 5.0 | |
| truncation_strategy: random | |
| truth: false | |
| type: mmap | |
| - features_dir: /workspace/tm2/wake/features/ambient | |
| penalty_weight: 1.0 | |
| sampling_weight: 0.0 | |
| truncation_strategy: split | |
| truth: false | |
| type: mmap | |
| freq_mask_count: | |
| - 0 | |
| freq_mask_max_size: | |
| - 0 | |
| learning_rates: | |
| - 0.001 | |
| maximization_metric: average_viable_recall | |
| minimization_metric: null | |
| negative_class_weight: | |
| - 20 | |
| positive_class_weight: | |
| - 1 | |
| target_minimization: 0.9 | |
| time_mask_count: | |
| - 0 | |
| time_mask_max_size: | |
| - 0 | |
| train_dir: /workspace/tm2/wake/trained | |
| training_steps: | |
| - 20000 | |
| window_step_ms: 10 | |