sample_rate: 16000 timesteps: 64 repeat: 2 dropout: 0.0 kernel_size_factor: 1.0 labels: - background - speech train_ds: vad_stream: false manifest_filepath: /home/fjia/code/manifest64/train.json sample_rate: 16000 labels: - background - speech batch_size: 128 num_workers: 20 shuffle: true augmentor: shift: prob: 0.8 min_shift_ms: -5.0 max_shift_ms: 5.0 white_noise: prob: 0.8 min_level: -90 max_level: -46 validation_ds: vad_stream: false manifest_filepath: /home/fjia/code/manifest64/validation.json sample_rate: 16000 labels: - background - speech batch_size: 128 shuffle: false val_loss_idx: 0 num_workers: 20 test_ds: vad_stream: false manifest_filepath: null sample_rate: 16000 labels: - background - speech batch_size: 128 shuffle: false test_loss_idx: 0 num_workers: 20 preprocessor: cls: nemo.collections.asr.modules.AudioToMFCCPreprocessor params: window_size: 0.025 window_stride: 0.01 window: hann n_mels: 64 n_mfcc: 64 n_fft: 512 spec_augment: cls: nemo.collections.asr.modules.SpectrogramAugmentation params: freq_masks: 2 time_masks: 2 freq_width: 15 time_width: 25 rect_masks: 5 rect_time: 25 rect_freq: 15 encoder: cls: nemo.collections.asr.modules.ConvASREncoder params: feat_in: 64 activation: relu conv_mask: true jasper: - filters: 128 repeat: 1 kernel: - 11 stride: - 1 dilation: - 1 dropout: 0.0 residual: false separable: true kernel_size_factor: 1.0 - filters: 64 repeat: 2 kernel: - 13 stride: - 1 dilation: - 1 dropout: 0.0 residual: true separable: true kernel_size_factor: 1.0 - filters: 64 repeat: 2 kernel: - 15 stride: - 1 dilation: - 1 dropout: 0.0 residual: true separable: true kernel_size_factor: 1.0 - filters: 64 repeat: 2 kernel: - 17 stride: - 1 dilation: - 1 dropout: 0.0 residual: true separable: true kernel_size_factor: 1.0 - filters: 128 repeat: 1 kernel: - 29 stride: - 1 dilation: - 2 dropout: 0.0 residual: false separable: true kernel_size_factor: 1.0 - filters: 128 repeat: 1 kernel: - 1 stride: - 1 dilation: - 1 dropout: 0.0 residual: false decoder: cls: nemo.collections.asr.modules.ConvASRDecoderClassification params: feat_in: 128 num_classes: 2 return_logits: true pooling_type: avg optim: name: sgd lr: 0.01 weight_decay: 0.001 sched: name: PolynomialHoldDecayAnnealing power: 2.0 warmup_ratio: 0.05 hold_ratio: 0.45 min_lr: 0.001 last_epoch: -1 momentum: 0.9 target: nemo.collections.asr.models.classification_models.EncDecClassificationModel