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| wav2vec2_hub: TencentGameMate/chinese-wav2vec2-large |
| sample_rate: 16000 |
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| wav2vec_output_dim: 1024 |
| dnn_neurons: 1024 |
| freeze_wav2vec: False |
| dropout: 0.15 |
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| tokenizer: !apply:transformers.BertTokenizer.from_pretrained |
| pretrained_model_name_or_path: bert-base-chinese |
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| output_neurons: 21128 |
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| blank_index: 0 |
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| enc: !new:speechbrain.nnet.containers.Sequential |
| input_shape: [null, null, !ref <wav2vec_output_dim>] |
| linear1: !name:speechbrain.nnet.linear.Linear |
| n_neurons: !ref <dnn_neurons> |
| bias: True |
| bn1: !name:speechbrain.nnet.normalization.BatchNorm1d |
| activation: !new:torch.nn.LeakyReLU |
| drop: !new:torch.nn.Dropout |
| p: !ref <dropout> |
| linear2: !name:speechbrain.nnet.linear.Linear |
| n_neurons: !ref <dnn_neurons> |
| bias: True |
| bn2: !name:speechbrain.nnet.normalization.BatchNorm1d |
| activation2: !new:torch.nn.LeakyReLU |
| drop2: !new:torch.nn.Dropout |
| p: !ref <dropout> |
| linear3: !name:speechbrain.nnet.linear.Linear |
| n_neurons: !ref <dnn_neurons> |
| bias: True |
| bn3: !name:speechbrain.nnet.normalization.BatchNorm1d |
| activation3: !new:torch.nn.LeakyReLU |
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| wav2vec2: !new:speechbrain.lobes.models.huggingface_transformers.wav2vec2.Wav2Vec2 |
| source: !ref <wav2vec2_hub> |
| output_norm: True |
| freeze: !ref <freeze_wav2vec> |
| save_path: model_checkpoints |
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| ctc_lin: !new:speechbrain.nnet.linear.Linear |
| input_size: !ref <dnn_neurons> |
| n_neurons: !ref <output_neurons> |
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| log_softmax: !new:speechbrain.nnet.activations.Softmax |
| apply_log: True |
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| decoder: !name:speechbrain.decoders.ctc_greedy_decode |
| blank_id: !ref <blank_index> |
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| model: !new:torch.nn.ModuleList |
| - [!ref <enc>, !ref <ctc_lin>] |
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| modules: |
| wav2vec2: !ref <wav2vec2> |
| enc: !ref <enc> |
| ctc_lin: !ref <ctc_lin> |
| log_softmax: !ref <log_softmax> |
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| pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer |
| loadables: |
| wav2vec2: !ref <wav2vec2> |
| model: !ref <model> |
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