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HPARAMS_NEEDED: ["wav2vec_output_dim", "emb_size", "dec_neurons", "dec_layers", "output_neurons", "log_softmax", "tokenizer"] |
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MODULES_NEEDED: ["encoder_w2v2", "embedding", "ctc_lin", "seq_lin", "lm_model"] |
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output_folder: !ref output_folder_seq2seq_cv_podcast_arhiv_augmentation |
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pretrained_path: Macedonian-ASR/wav2vec2-aed-macedonian-asr |
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wav2vec2_hub: facebook/wav2vec2-large-xlsr-53 |
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save_folder: !ref <output_folder>/save |
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wav2vec2_folder: !ref <save_folder>/wav2vec2_checkpoint |
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dropout: 0.15 |
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wav2vec_output_dim: 1024 |
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emb_size: 128 |
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dec_neurons: 1024 |
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dec_layers: 1 |
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output_neurons: 1000 |
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blank_index: 0 |
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bos_index: 0 |
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eos_index: 0 |
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unk_index: 0 |
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min_decode_ratio: 0.0 |
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max_decode_ratio: 1.0 |
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valid_beam_size: 10 |
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test_beam_size: 20 |
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using_eos_threshold: True |
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eos_threshold: 1.5 |
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using_max_attn_shift: False |
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max_attn_shift: 700 |
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length_normalization: True |
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temperature: 1.0 |
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temperature_lm: 1.4 |
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coverage_penalty: 1.5 |
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lm_weight: 0.4 |
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lm_model: !new:speechbrain.lobes.models.RNNLM.RNNLM |
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output_neurons: !ref <output_neurons> |
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embedding_dim: !ref <emb_size> |
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activation: !name:torch.nn.LeakyReLU |
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dropout: 0.0 |
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rnn_layers: 2 |
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rnn_neurons: 2048 |
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dnn_blocks: 1 |
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dnn_neurons: 512 |
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return_hidden: True |
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encoder_w2v2: !new:speechbrain.lobes.models.huggingface_transformers.wav2vec2.Wav2Vec2 |
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source: !ref <wav2vec2_hub> |
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output_norm: True |
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freeze: False |
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freeze_feature_extractor: True |
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save_path: !ref <wav2vec2_folder> |
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output_all_hiddens: False |
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embedding: !new:speechbrain.nnet.embedding.Embedding |
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num_embeddings: !ref <output_neurons> |
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embedding_dim: !ref <emb_size> |
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decoder: !new:speechbrain.nnet.RNN.AttentionalRNNDecoder |
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enc_dim: !ref <wav2vec_output_dim> |
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input_size: !ref <emb_size> |
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rnn_type: gru |
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attn_type: location |
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hidden_size: !ref <dec_neurons> |
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attn_dim: 512 |
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num_layers: !ref <dec_layers> |
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scaling: 1.0 |
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channels: 10 |
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kernel_size: 100 |
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re_init: True |
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dropout: !ref <dropout> |
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ctc_lin: !new:speechbrain.nnet.linear.Linear |
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input_size: !ref <wav2vec_output_dim> |
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n_neurons: !ref <output_neurons> |
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seq_lin: !new:speechbrain.nnet.linear.Linear |
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input_size: !ref <dec_neurons> |
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n_neurons: !ref <output_neurons> |
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log_softmax: !new:speechbrain.nnet.activations.Softmax |
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apply_log: True |
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tokenizer: !new:sentencepiece.SentencePieceProcessor |
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model_file: 1000_unigram.model |
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modules: |
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encoder_w2v2: !ref <encoder_w2v2> |
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embedding: !ref <embedding> |
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decoder: !ref <decoder> |
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ctc_lin: !ref <ctc_lin> |
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seq_lin: !ref <seq_lin> |
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lm_model: !ref <lm_model> |
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model: !new:torch.nn.ModuleList |
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- [!ref <encoder_w2v2>, !ref <embedding>, !ref <decoder>, !ref <ctc_lin>, !ref <seq_lin>] |
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coverage_scorer: !new:speechbrain.decoders.scorer.CoverageScorer |
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vocab_size: !ref <output_neurons> |
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rnnlm_scorer: !new:speechbrain.decoders.scorer.RNNLMScorer |
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language_model: !ref <lm_model> |
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temperature: !ref <temperature_lm> |
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scorer: !new:speechbrain.decoders.scorer.ScorerBuilder |
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full_scorers: [!ref <coverage_scorer>] |
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weights: |
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coverage: !ref <coverage_penalty> |
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scorer_lm: !new:speechbrain.decoders.scorer.ScorerBuilder |
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full_scorers: [!ref <rnnlm_scorer>, |
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!ref <coverage_scorer>] |
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weights: |
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rnnlm: !ref <lm_weight> |
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coverage: !ref <coverage_penalty> |
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test_search: !new:speechbrain.decoders.S2SRNNBeamSearcher |
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embedding: !ref <embedding> |
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decoder: !ref <decoder> |
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linear: !ref <seq_lin> |
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bos_index: !ref <bos_index> |
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eos_index: !ref <eos_index> |
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min_decode_ratio: !ref <min_decode_ratio> |
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max_decode_ratio: !ref <max_decode_ratio> |
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beam_size: !ref <test_beam_size> |
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eos_threshold: !ref <eos_threshold> |
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using_max_attn_shift: !ref <using_max_attn_shift> |
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max_attn_shift: !ref <max_attn_shift> |
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temperature: !ref <temperature> |
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scorer: !ref <scorer_lm> |
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer |
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loadables: |
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model: !ref <model> |
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lm: !ref <lm_model> |
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paths: |
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model: !ref <pretrained_path>/model.ckpt |
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lm: !ref <pretrained_path>/lm.ckpt |
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