Update hyperparams.yalm
Browse files- hyperparams.yalm +4 -4
hyperparams.yalm
CHANGED
@@ -52,7 +52,7 @@ encoder_dims: 768
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n_classes: 5
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# Wav2vec2 encoder
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-
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source: !ref <wav2vec2_hub>
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output_norm: True
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freeze: !ref <freeze_wav2vec2>
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@@ -65,7 +65,7 @@ avg_pool: !new:speechbrain.nnet.pooling.StatisticsPooling
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return_std: False
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-
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input_size: !ref <encoder_dims>
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n_neurons: !ref <n_classes>
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bias: False
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@@ -121,8 +121,8 @@ lr_annealing_wav2vec2: !new:speechbrain.nnet.schedulers.NewBobScheduler
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checkpointer: !new:speechbrain.utils.checkpoints.Checkpointer
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checkpoints_dir: !ref <save_folder>
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recoverables:
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-
model: !ref <
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wav2vec2: !ref <
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lr_annealing_output: !ref <lr_annealing>
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lr_annealing_wav2vec2: !ref <lr_annealing_wav2vec2>
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counter: !ref <epoch_counter>
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n_classes: 5
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# Wav2vec2 encoder
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embedding_model: !new:speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2
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source: !ref <wav2vec2_hub>
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output_norm: True
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freeze: !ref <freeze_wav2vec2>
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return_std: False
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classifier: !new:speechbrain.nnet.linear.Linear
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input_size: !ref <encoder_dims>
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n_neurons: !ref <n_classes>
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bias: False
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checkpointer: !new:speechbrain.utils.checkpoints.Checkpointer
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checkpoints_dir: !ref <save_folder>
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recoverables:
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model: !ref <classifier>
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wav2vec2: !ref <embedding_model>
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lr_annealing_output: !ref <lr_annealing>
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lr_annealing_wav2vec2: !ref <lr_annealing_wav2vec2>
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counter: !ref <epoch_counter>
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