Update hyperparams.yaml

hyperparams.yaml

@@ -79,23 +79,30 @@ dec: !new:speechbrain.nnet.RNN.AttentionalRNNDecoder
     kernel_size: 100
     re_init: True
     dropout: !ref <dropout>
+
 ctc_lin: !new:speechbrain.nnet.linear.Linear
     input_size: !ref <dnn_neurons>
     n_neurons: !ref <output_neurons>
+
 seq_lin: !new:speechbrain.nnet.linear.Linear
     input_size: !ref <dec_neurons>
     n_neurons: !ref <output_neurons>
+
 log_softmax: !new:speechbrain.nnet.activations.Softmax
     apply_log: True
+
 asr_model: !new:torch.nn.ModuleList
     - [!ref <enc>, !ref <emb>, !ref <dec>, !ref <ctc_lin>, !ref <seq_lin>]
+
 tokenizer: !new:sentencepiece.SentencePieceProcessor
+
 # We compose the inference (encoder) pipeline.
 encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential
     input_shape: [null, null, !ref <n_mels>]
     compute_features: !ref <compute_features>
     normalize: !ref <normalizer>
     model: !ref <enc>
+    
 decoder: !new:speechbrain.decoders.S2SRNNBeamSearcher
     embedding: !ref <emb>
     decoder: !ref <dec>
@@ -109,10 +116,12 @@ decoder: !new:speechbrain.decoders.S2SRNNBeamSearcher
     using_max_attn_shift: !ref <using_max_attn_shift>
     max_attn_shift: !ref <max_attn_shift>
     temperature: !ref <temperature>
+
 modules:
     normalizer: !ref <normalizer>
     encoder: !ref <encoder>
     decoder: !ref <decoder>
+
 pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
     loadables:
         normalizer: !ref <normalizer>