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95 lines
2.8 KiB
95 lines
2.8 KiB
############################################
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# Network Architecture #
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############################################
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cmvn_file_type: "json"
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# encoder related
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encoder: conformer
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encoder_conf:
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output_size: 512 # dimension of attention
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attention_heads: 8
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linear_units: 2048 # the number of units of position-wise feed forward
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num_blocks: 12 # the number of encoder blocks
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dropout_rate: 0.1
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positional_dropout_rate: 0.1
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attention_dropout_rate: 0.0
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input_layer: conv2d # encoder input type, you can chose conv2d, conv2d6 and conv2d8
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normalize_before: True
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use_cnn_module: True
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cnn_module_kernel: 15
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cnn_module_norm: layer_norm
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activation_type: swish
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pos_enc_layer_type: rel_pos
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selfattention_layer_type: rel_selfattn
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# decoder related
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decoder: transformer
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decoder_conf:
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attention_heads: 8
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linear_units: 2048
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num_blocks: 6
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dropout_rate: 0.1
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positional_dropout_rate: 0.1
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self_attention_dropout_rate: 0.0
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src_attention_dropout_rate: 0.0
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# hybrid CTC/attention
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model_conf:
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ctc_weight: 0.3
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lsm_weight: 0.1 # label smoothing option
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length_normalized_loss: false
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init_type: 'kaiming_uniform' # !Warning: need to convergence
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# https://yaml.org/type/float.html
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###########################################
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# Data #
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###########################################
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train_manifest: data/train_l/data.list
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dev_manifest: data/dev/data.list
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test_manifest: data/test_meeting/data.list
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###########################################
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# Dataloader #
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###########################################
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use_stream_data: True
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unit_type: 'char'
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vocab_filepath: data/lang_char/vocab.txt
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preprocess_config: conf/preprocess.yaml
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cmvn_file: data/mean_std.json
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spm_model_prefix: ''
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feat_dim: 80
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stride_ms: 10.0
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window_ms: 25.0
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dither: 0.1
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sortagrad: 0 # Feed samples from shortest to longest ; -1: enabled for all epochs, 0: disabled, other: enabled for 'other' epochs
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batch_size: 32
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minlen_in: 10
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maxlen_in: 1200 # if input length(number of frames) > maxlen-in, data is automatically removed
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minlen_out: 0
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maxlen_out: 150 # if output length(number of tokens) > maxlen-out, data is automatically removed
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resample_rate: 16000
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shuffle_size: 1500 # read number of 'shuffle_size' data as a chunk, shuffle the data in the chunk
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sort_size: 1000 # read number of 'sort_size' data as a chunk, sort the data in the chunk
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num_workers: 8
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prefetch_factor: 10
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dist_sampler: True
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num_encs: 1
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###########################################
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# Training #
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###########################################
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n_epoch: 32
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accum_grad: 32
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global_grad_clip: 5.0
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log_interval: 100
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checkpoint:
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kbest_n: 50
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latest_n: 5
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optim: adam
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optim_conf:
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lr: 0.001
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weight_decay: 1.0e-6
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scheduler: warmuplr
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scheduler_conf:
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warmup_steps: 5000
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lr_decay: 1.0
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