| egs/librispeech_100h/conf/decode_asr_transformer.yaml | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| egs/librispeech_100h/conf/train_asr_conformer.yaml | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| egs/librispeech_100h/conf/train_asr_conformer_uttnorm.yaml | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 |
egs/librispeech_100h/conf/decode_asr_transformer.yaml
New file @@ -0,0 +1,6 @@ beam_size: 10 penalty: 0.0 maxlenratio: 0.0 minlenratio: 0.0 ctc_weight: 0.5 lm_weight: 0.7 egs/librispeech_100h/conf/train_asr_conformer.yaml
New file @@ -0,0 +1,80 @@ encoder: conformer encoder_conf: output_size: 512 attention_heads: 8 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: transformer decoder_conf: attention_heads: 8 linear_units: 2048 num_blocks: 6 dropout_rate: 0.1 positional_dropout_rate: 0.1 self_attention_dropout_rate: 0.1 src_attention_dropout_rate: 0.1 model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false accum_grad: 2 max_epoch: 50 patience: none init: none best_model_criterion: - - valid - acc - max keep_nbest_models: 10 optim: adam optim_conf: lr: 0.0025 weight_decay: 0.000001 scheduler: warmuplr scheduler_conf: warmup_steps: 40000 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: 10 dataset_conf: shuffle: True shuffle_conf: shuffle_size: 1024 sort_size: 500 batch_conf: batch_type: token batch_size: 10000 num_workers: 8 log_interval: 50 normalize: None egs/librispeech_100h/conf/train_asr_conformer_uttnorm.yaml
New file @@ -0,0 +1,80 @@ encoder: conformer encoder_conf: output_size: 512 attention_heads: 8 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: transformer decoder_conf: attention_heads: 8 linear_units: 2048 num_blocks: 6 dropout_rate: 0.1 positional_dropout_rate: 0.1 self_attention_dropout_rate: 0.1 src_attention_dropout_rate: 0.1 model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false accum_grad: 2 max_epoch: 50 patience: none init: none best_model_criterion: - - valid - acc - max keep_nbest_models: 10 optim: adam optim_conf: lr: 0.0025 weight_decay: 0.000001 scheduler: warmuplr scheduler_conf: warmup_steps: 40000 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: 10 dataset_conf: shuffle: True shuffle_conf: shuffle_size: 1024 sort_size: 500 batch_conf: batch_type: token batch_size: 10000 num_workers: 8 log_interval: 50 normalize: utterance_mvn