Create hyperparams.yaml

hyperparams.yaml

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+pretrained_path: sinarashidi/40epoch
+
+sample_rate: 16000
+
+# URL for the HuggingFace model we want to load as encoder
+wav2vec2_hub: m3hrdadfi/wav2vec2-large-xlsr-persian-v3
+
+# Outputs
+vocab_size: 100
+blank_index: 99
+bos_index: 97
+eos_index: 98
+pad_index: 99
+label_smoothing: 0.0
+
+# Encoder
+features_dim: 1024
+
+# Length Regulator
+enc_kernel_size: 3
+enc_stride: 2
+
+# Transformer decoder
+embedding_size: 512
+d_model: 512
+nhead: 8
+num_encoder_layers: 0
+num_decoder_layers: 6
+d_ffn: 2048
+transformer_dropout: 0.1
+activation: !name:torch.nn.GELU
+output_neurons: !ref <vocab_size>
+attention_type: "RelPosMHAXL"
+
+# Decoding parameters
+min_decode_ratio: 0.0
+max_decode_ratio: 1.0
+
+wav2vec2: !new:speechbrain.lobes.models.huggingface_transformers.wav2vec2.Wav2Vec2
+    source: !ref <wav2vec2_hub>
+    output_norm: True
+    freeze: True
+    freeze_feature_extractor: True
+    apply_spec_augment : True
+    save_path: wav2vec2_checkpoints
+
+length_regulator: !new:speechbrain.nnet.CNN.Conv1d
+  input_shape: [null, null, !ref <features_dim>]
+  out_channels: !ref <embedding_size>
+  kernel_size: !ref <enc_kernel_size>
+  stride: !ref <enc_stride>
+
+transformer_decoder: !new:speechbrain.lobes.models.transformer.TransformerST.TransformerST # yamllint disable-line rule:line-length
+    input_size: !ref <embedding_size>
+    tgt_vocab: !ref <output_neurons>
+    d_model: !ref <d_model>
+    nhead: !ref <nhead>
+    num_encoder_layers: !ref <num_encoder_layers>
+    num_decoder_layers: !ref <num_decoder_layers>
+    d_ffn: !ref <d_ffn>
+    dropout: !ref <transformer_dropout>
+    activation: !ref <activation>
+    attention_type: !ref <attention_type>
+    normalize_before: True
+    causal: False
+
+log_softmax: !new:speechbrain.nnet.activations.Softmax
+    apply_log: True
+
+seq_lin: !new:speechbrain.nnet.linear.Linear
+    input_size: !ref <d_model>
+    n_neurons: !ref <output_neurons>
+
+model: !new:torch.nn.ModuleList
+    - [!ref <length_regulator>, !ref <transformer_decoder>, !ref <seq_lin>]
+
+encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential
+    wav2vec2: !ref <wav2vec2>
+    length_regulator: !ref <length_regulator>
+
+decoder_beamsearch: !new:speechbrain.decoders.seq2seq.S2STransformerBeamSearcher
+    modules: [!ref <transformer_decoder>, !ref <seq_lin>]
+    bos_index: !ref <bos_index>
+    eos_index: !ref <eos_index>
+    min_decode_ratio: !ref <min_decode_ratio>
+    max_decode_ratio: !ref <max_decode_ratio>
+    beam_size: 10
+    temperature: 1.0
+
+modules:
+    encoder: !ref <encoder>
+    decoder: !ref <decoder_beamsearch>
+
+pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
+    loadables:
+      model: !ref <model>
+      wav2vec2: !ref <wav2vec2>
+    paths:
+        wav2vec2: !ref <pretrained_path>/wav2vec2.ckpt
+        model: !ref <pretrained_path>/model.ckpt