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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,4 @@ | ||
| beam_size: 10 | ||
| transducer_conf: | ||
| search_type: default | ||
| score_norm: true |
78 changes: 78 additions & 0 deletions
78
egs2/tedlium2/asr1/conf/tuning/train_asr_transducer_conformer_e12_linear2048.yaml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,78 @@ | ||
| # Trained with NVIDIA A40 GPU (48GB) x 2 | ||
| encoder: conformer | ||
| encoder_conf: | ||
| output_size: 256 | ||
| attention_heads: 4 | ||
| linear_units: 2048 | ||
| num_blocks: 12 | ||
| dropout_rate: 0.1 | ||
| positional_dropout_rate: 0.1 | ||
| attention_dropout_rate: 0.1 | ||
| input_layer: conv2d | ||
| normalize_before: true | ||
| macaron_style: true | ||
| rel_pos_type: latest | ||
| pos_enc_layer_type: rel_pos | ||
| selfattention_layer_type: rel_selfattn | ||
| activation_type: swish | ||
| use_cnn_module: true | ||
| cnn_module_kernel: 31 | ||
|
|
||
| decoder: transducer | ||
| decoder_conf: | ||
| rnn_type: lstm | ||
| num_layers: 1 | ||
| hidden_size: 256 | ||
| dropout: 0.1 | ||
| dropout_embed: 0.2 | ||
|
|
||
| joint_net_conf: | ||
| joint_space_size: 320 | ||
|
|
||
| model_conf: | ||
| ctc_weight: 0.3 | ||
| report_cer: False | ||
| report_wer: False | ||
|
|
||
| frontend_conf: | ||
| n_fft: 512 | ||
| win_length: 400 | ||
| hop_length: 160 | ||
|
|
||
| seed: 2022 | ||
| use_amp: false | ||
| num_workers: 6 | ||
| batch_type: numel | ||
| batch_bins: 10000000 | ||
| accum_grad: 5 | ||
| max_epoch: 50 | ||
| init: none | ||
| best_model_criterion: | ||
| - - valid | ||
| - loss | ||
| - min | ||
| keep_nbest_models: 10 | ||
|
|
||
| optim: adam | ||
| optim_conf: | ||
| lr: 0.002 | ||
| weight_decay: 0.000001 | ||
| scheduler: warmuplr | ||
| scheduler_conf: | ||
| warmup_steps: 15000 | ||
|
|
||
| specaug: specaug | ||
| specaug_conf: | ||
| apply_time_warp: true | ||
| time_warp_window: 5 | ||
| time_warp_mode: bicubic | ||
| apply_freq_mask: true | ||
| freq_mask_width_range: | ||
| - 0 | ||
| - 27 | ||
| num_freq_mask: 2 | ||
| apply_time_mask: true | ||
| time_mask_width_ratio_range: | ||
| - 0. | ||
| - 0.05 | ||
| num_time_mask: 5 |
82 changes: 82 additions & 0 deletions
82
egs2/tedlium2/asr1/conf/tuning/train_asr_transducer_e_branchformer_e12.yaml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,82 @@ | ||
| # Trained with NVIDIA A40 GPU (48GB) x 2 | ||
| encoder: e_branchformer | ||
| encoder_conf: | ||
| output_size: 256 | ||
| attention_heads: 4 | ||
| attention_layer_type: rel_selfattn | ||
| pos_enc_layer_type: rel_pos | ||
| rel_pos_type: latest | ||
| cgmlp_linear_units: 1024 | ||
| cgmlp_conv_kernel: 31 | ||
| use_linear_after_conv: false | ||
| gate_activation: identity | ||
| num_blocks: 12 | ||
| dropout_rate: 0.1 | ||
| positional_dropout_rate: 0.1 | ||
| attention_dropout_rate: 0.1 | ||
| input_layer: conv2d | ||
| layer_drop_rate: 0.0 | ||
| linear_units: 1024 | ||
| positionwise_layer_type: linear | ||
| use_ffn: true | ||
| macaron_ffn: true | ||
| merge_conv_kernel: 31 | ||
|
|
||
| decoder: transducer | ||
| decoder_conf: | ||
| rnn_type: lstm | ||
| num_layers: 1 | ||
| hidden_size: 256 | ||
| dropout: 0.1 | ||
| dropout_embed: 0.2 | ||
|
|
||
| joint_net_conf: | ||
| joint_space_size: 320 | ||
|
|
||
| model_conf: | ||
| ctc_weight: 0.3 | ||
| report_cer: False | ||
| report_wer: False | ||
|
|
||
| frontend_conf: | ||
| n_fft: 512 | ||
| win_length: 400 | ||
| hop_length: 160 | ||
|
|
||
| seed: 2022 | ||
| use_amp: false | ||
| num_workers: 6 | ||
| batch_type: numel | ||
| batch_bins: 10000000 | ||
| accum_grad: 5 | ||
| max_epoch: 50 | ||
| init: none | ||
| best_model_criterion: | ||
| - - valid | ||
| - loss | ||
| - min | ||
| keep_nbest_models: 10 | ||
|
|
||
| optim: adam | ||
| optim_conf: | ||
| lr: 0.002 | ||
| weight_decay: 0.000001 | ||
| scheduler: warmuplr | ||
| scheduler_conf: | ||
| warmup_steps: 15000 | ||
|
|
||
| specaug: specaug | ||
| specaug_conf: | ||
| apply_time_warp: true | ||
| time_warp_window: 5 | ||
| time_warp_mode: bicubic | ||
| apply_freq_mask: true | ||
| freq_mask_width_range: | ||
| - 0 | ||
| - 27 | ||
| num_freq_mask: 2 | ||
| apply_time_mask: true | ||
| time_mask_width_ratio_range: | ||
| - 0. | ||
| - 0.05 | ||
| num_time_mask: 5 |