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https://github.com/modelscope/FunASR
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@ -49,7 +49,7 @@ model_conf:
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# optimization related
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# optimization related
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accum_grad: 1
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accum_grad: 1
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grad_clip: 5
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grad_clip: 5
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max_epoch: 50
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max_epoch: 150
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val_scheduler_criterion:
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val_scheduler_criterion:
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- valid
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- valid
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- acc
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- acc
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@ -23,22 +23,28 @@ decoder_conf:
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self_attention_dropout_rate: 0.0
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self_attention_dropout_rate: 0.0
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src_attention_dropout_rate: 0.0
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src_attention_dropout_rate: 0.0
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# frontend related
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frontend: wav_frontend
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frontend_conf:
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fs: 16000
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window: hamming
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n_mels: 80
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frame_length: 25
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frame_shift: 10
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lfr_m: 1
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lfr_n: 1
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# hybrid CTC/attention
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# hybrid CTC/attention
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model_conf:
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model_conf:
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ctc_weight: 0.3
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ctc_weight: 0.3
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lsm_weight: 0.1 # label smoothing option
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lsm_weight: 0.1 # label smoothing option
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length_normalized_loss: false
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length_normalized_loss: false
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# minibatch related
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batch_type: length
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batch_bins: 32000
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num_workers: 8
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# optimization related
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# optimization related
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accum_grad: 1
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accum_grad: 1
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grad_clip: 5
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grad_clip: 5
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patience: 3
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patience: 3
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max_epoch: 20
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max_epoch: 60
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val_scheduler_criterion:
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val_scheduler_criterion:
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- valid
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- valid
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- acc
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- acc
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@ -66,5 +72,15 @@ scheduler: warmuplr # pytorch v1.1.0+ required
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scheduler_conf:
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scheduler_conf:
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warmup_steps: 25000
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warmup_steps: 25000
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dataset_conf:
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shuffle: True
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shuffle_conf:
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shuffle_size: 2048
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sort_size: 500
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batch_conf:
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batch_type: token
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batch_size: 25000
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num_workers: 8
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log_interval: 50
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log_interval: 50
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normalize: None
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normalize: None
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