|
|
|
|
|
|
|
|
|
|
|
|
|
HPARAMS_NEEDED: ["beam_searcher"] |
|
|
|
MODULES_NEEDED: ["hubert", "decoder", "seq_lin"] |
|
|
|
|
|
wav2vec2_hub: facebook/hubert-base-ls960 |
|
|
|
|
|
pretrained_path: speechbrain/SLU-direct-SLURP-hubert-enc |
|
|
|
|
|
encoder_dim: 768 |
|
output_neurons: 58 |
|
emb_size: 128 |
|
dec_neurons: 512 |
|
dec_attn_dim: 512 |
|
dec_layer: 3 |
|
|
|
hubert: !new:speechbrain.lobes.models.huggingface_transformers.wav2vec2.Wav2Vec2 |
|
source: !ref <wav2vec2_hub> |
|
output_norm: True |
|
freeze: True |
|
save_path: wav2vec2_checkpoints |
|
|
|
output_emb: !new:speechbrain.nnet.embedding.Embedding |
|
num_embeddings: !ref <output_neurons> |
|
embedding_dim: !ref <emb_size> |
|
|
|
dec: !new:speechbrain.nnet.RNN.AttentionalRNNDecoder |
|
enc_dim: !ref <encoder_dim> |
|
input_size: !ref <emb_size> |
|
rnn_type: lstm |
|
attn_type: content |
|
hidden_size: !ref <dec_neurons> |
|
attn_dim: !ref <dec_attn_dim> |
|
num_layers: !ref <dec_layer> |
|
scaling: 1.0 |
|
dropout: 0.0 |
|
|
|
seq_lin: !new:speechbrain.nnet.linear.Linear |
|
input_size: !ref <dec_neurons> |
|
n_neurons: !ref <output_neurons> |
|
|
|
beam_searcher: !new:speechbrain.decoders.S2SRNNBeamSearcher |
|
embedding: !ref <output_emb> |
|
decoder: !ref <dec> |
|
linear: !ref <seq_lin> |
|
bos_index: 0 |
|
eos_index: 0 |
|
min_decode_ratio: 0.0 |
|
max_decode_ratio: 10.0 |
|
beam_size: 80 |
|
eos_threshold: 1.5 |
|
temperature: 1.25 |
|
using_max_attn_shift: false |
|
max_attn_shift: 30 |
|
|
|
model: !new:torch.nn.ModuleList |
|
- [!ref <output_emb>, !ref <dec>, !ref <seq_lin>] |
|
|
|
modules: |
|
hubert: !ref <hubert> |
|
beam_searcher: !ref <beam_searcher> |
|
|
|
tokenizer: !new:sentencepiece.SentencePieceProcessor |
|
|
|
|
|
pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer |
|
loadables: |
|
hubert: !ref <hubert> |
|
model: !ref <model> |
|
tokenizer: !ref <tokenizer> |
|
paths: |
|
hubert: !ref <pretrained_path>/hubert.ckpt |
|
model: !ref <pretrained_path>/model.ckpt |
|
tokenizer: !ref <pretrained_path>/tokenizer_58_unigram.model |
|
|
|
|
|
|
