model_class: rnnt
sample_rate: 16000
preprocessor:
  _target_: gigaam.preprocess.FeatureExtractor
  sample_rate: 16000
  features: 64
  win_length: 320
  hop_length: 160
  mel_scale: htk
  n_fft: 320
  mel_norm: null
  center: false
encoder:
  _target_: gigaam.encoder.ConformerEncoder
  feat_in: 64
  n_layers: 16
  d_model: 768
  subsampling_factor: 4
  ff_expansion_factor: 4
  self_attention_model: rotary
  pos_emb_max_len: 5000
  n_heads: 16
  conv_kernel_size: 5
  flash_attn: false
  subs_kernel_size: 5
  subsampling: conv1d
  conv_norm_type: layer_norm
head:
  _target_: gigaam.decoder.RNNTHead
  decoder:
    pred_hidden: 320
    pred_rnn_layers: 1
    num_classes: 1025
  joint:
    enc_hidden: 768
    pred_hidden: 320
    joint_hidden: 320
    num_classes: 1025
decoding:
  _target_: gigaam.decoding.RNNTGreedyDecoding
  vocabulary: null
  model_path: /models/v3_e2e_rnnt_tokenizer.model
model_name: v3_e2e_rnnt
hashes:
  model: 72e2a9b5c7caad963b2bbfd2f298c252
  tokenizer: 3b3bf8370e882885d79731592fc99f98