| model_class: enc_dec_rnnt_bpe | |
| sample_rate: 16000 | |
| log_prediction: true | |
| model_defaults: | |
| enc_hidden: 768 | |
| pred_hidden: 320 | |
| join_hidden: 320 | |
| preprocessor: | |
| _target_: __main__.AudioToMelSpectrogramPreprocessor | |
| sample_rate: 16000 | |
| n_fft: 400 | |
| n_window_size: 400 | |
| window_size: null | |
| n_window_stride: 160 | |
| window_stride: null | |
| features: 64 | |
| dither: 0.0 | |
| preemph: null | |
| log: true | |
| log_zero_guard_type: clamp | |
| normalize: null | |
| pad_to: 0 | |
| mel_norm: null | |
| window: hann | |
| log_zero_guard_value: 1e-9 | |
| tokenizer: | |
| dir: tokenizer_all_sets/ | |
| type: bpe | |
| validation_ds: | |
| shuffle: False | |
| manifest_filepath: null | |
| encoder: | |
| _target_: nemo.collections.asr.modules.ConformerEncoder | |
| feat_in: 64 | |
| feat_out: -1 | |
| n_layers: 16 | |
| d_model: 768 | |
| subsampling: striding | |
| subsampling_factor: 4 | |
| subsampling_conv_channels: 768 | |
| ff_expansion_factor: 4 | |
| self_attention_model: rel_pos | |
| pos_emb_max_len: 5000 | |
| n_heads: 16 | |
| xscaling: false | |
| untie_biases: true | |
| conv_kernel_size: 31 | |
| dropout: 0.1 | |
| dropout_emb: 0.1 | |
| dropout_att: 0.1 | |
| decoder: | |
| _target_: nemo.collections.asr.modules.RNNTDecoder | |
| normalization_mode: null | |
| random_state_sampling: false | |
| blank_as_pad: true | |
| vocab_size: 512 | |
| prednet: | |
| pred_hidden: 320 | |
| pred_rnn_layers: 1 | |
| t_max: null | |
| dropout: 0.0 | |
| joint: | |
| _target_: nemo.collections.asr.modules.RNNTJoint | |
| log_softmax: null | |
| fuse_loss_wer: false | |
| fused_batch_size: 1 | |
| jointnet: | |
| joint_hidden: 320 | |
| activation: relu | |
| dropout: 0.0 | |
| encoder_hidden: 768 | |
| optim: | |
| name: adamw | |
| lr: 5.0e-05 | |
| betas: | |
| - 0.9 | |
| - 0.98 | |
| weight_decay: 0.01 | |
| sched: | |
| name: CosineAnnealing | |
| warmup_steps: 10000 | |
| warmup_ratio: null | |
| min_lr: 1.0e-07 | |
| nemo_version: 1.12.0 | |
| decoding: | |
| strategy: greedy_batch | |
| preserve_alignments: false | |
| greedy: | |
| max_symbols: 3 | |
| beam: | |
| beam_size: 5 | |
| score_norm: true | |
| loss: | |
| loss_name: default | |
| mwer: false | |
| rnnt_reduction: mean_batch | |
| wer_coef: false | |
| subtract_mean: true | |
| warprnnt_numba_kwargs: | |
| fastemit_lambda: 0.0 | |
| clamp: -1.0 | |
| rnnt_weight: 0.1 | |
| unique_hyp: true | |