Update hyperparams.yaml
Browse files- hyperparams.yaml +0 -8
hyperparams.yaml
CHANGED
@@ -26,11 +26,6 @@ wav2vec2: !new:speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2
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freeze: True
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save_path: wav2vec2_checkpoints
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# Mean and std normalization of the input features
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mean_var_norm_emb: !new:speechbrain.processing.features.InputNormalization
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norm_type: sentence
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std_norm: False
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avg_pool: !new:speechbrain.nnet.pooling.StatisticsPooling
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return_std: False
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@@ -43,7 +38,6 @@ model: !new:torch.nn.ModuleList
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- [!ref <output_mlp>]
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modules:
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mean_var_norm_emb: !ref <mean_var_norm_emb>
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wav2vec2: !ref <wav2vec2>
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output_mlp: !ref <output_mlp>
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avg_pool: !ref <avg_pool>
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@@ -55,12 +49,10 @@ label_encoder: !new:speechbrain.dataio.encoder.CategoricalEncoder
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
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loadables:
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mean_var_norm_emb: !ref <mean_var_norm_emb>
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wav2vec2: !ref <wav2vec2>
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model: !ref <model>
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label_encoder: !ref <label_encoder>
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paths:
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mean_var_norm_emb: !ref <pretrained_path>/normalizer_input.ckpt
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wav2vec2: !ref <pretrained_path>/wav2vec2.ckpt
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model: !ref <pretrained_path>/model.ckpt
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label_encoder: !ref <pretrained_path>/label_encoder.txt
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freeze: True
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save_path: wav2vec2_checkpoints
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avg_pool: !new:speechbrain.nnet.pooling.StatisticsPooling
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return_std: False
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- [!ref <output_mlp>]
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modules:
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wav2vec2: !ref <wav2vec2>
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output_mlp: !ref <output_mlp>
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avg_pool: !ref <avg_pool>
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
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loadables:
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wav2vec2: !ref <wav2vec2>
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model: !ref <model>
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label_encoder: !ref <label_encoder>
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paths:
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wav2vec2: !ref <pretrained_path>/wav2vec2.ckpt
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model: !ref <pretrained_path>/model.ckpt
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label_encoder: !ref <pretrained_path>/label_encoder.txt
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