config: conf/train_asr_transformer.yaml
print_config: false
log_level: INFO
dry_run: false
iterator_type: sequence
output_dir: exp/asr_train_asr_transformer_raw_gn_bpe100_sp
ngpu: 1
seed: 0
num_workers: 1
num_att_plot: 3
dist_backend: nccl
dist_init_method: env://
dist_world_size: null
dist_rank: null
local_rank: 0
dist_master_addr: null
dist_master_port: null
dist_launcher: null
multiprocessing_distributed: false
unused_parameters: false
sharded_ddp: false
cudnn_enabled: true
cudnn_benchmark: false
cudnn_deterministic: true
collect_stats: false
write_collected_feats: false
max_epoch: 15
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - valid
    - cer_ctc
    - min
keep_nbest_models: 1
nbest_averaging_interval: 0
grad_clip: 5.0
grad_clip_type: 2.0
grad_noise: false
accum_grad: 1
no_forward_run: false
resume: true
train_dtype: float32
use_amp: false
log_interval: null
use_matplotlib: true
use_tensorboard: true
use_wandb: false
wandb_project: null
wandb_id: null
wandb_entity: null
wandb_name: null
wandb_model_log_interval: -1
detect_anomaly: false
pretrain_path: null
init_param: []
ignore_init_mismatch: false
freeze_param:
- frontend.upstream.model.feature_extractor
- frontend.upstream.model.encoder.layers.0
- frontend.upstream.model.encoder.layers.1
- frontend.upstream.model.encoder.layers.2
- frontend.upstream.model.encoder.layers.3
- frontend.upstream.model.encoder.layers.4
- frontend.upstream.model.encoder.layers.5
- frontend.upstream.model.encoder.layers.6
- frontend.upstream.model.encoder.layers.7
- frontend.upstream.model.encoder.layers.8
- frontend.upstream.model.encoder.layers.9
- frontend.upstream.model.encoder.layers.10
- frontend.upstream.model.encoder.layers.11
- frontend.upstream.model.encoder.layers.12
- frontend.upstream.model.encoder.layers.13
- frontend.upstream.model.encoder.layers.14
- frontend.upstream.model.encoder.layers.15
- frontend.upstream.model.encoder.layers.16
- frontend.upstream.model.encoder.layers.17
- frontend.upstream.model.encoder.layers.18
- frontend.upstream.model.encoder.layers.19
- frontend.upstream.model.encoder.layers.20
- frontend.upstream.model.encoder.layers.21
num_iters_per_epoch: null
batch_size: 20
valid_batch_size: null
batch_bins: 200000
valid_batch_bins: null
train_shape_file:
- exp/asr_stats_raw_gn_bpe100_sp/train/speech_shape
- exp/asr_stats_raw_gn_bpe100_sp/train/text_shape.bpe
valid_shape_file:
- exp/asr_stats_raw_gn_bpe100_sp/valid/speech_shape
- exp/asr_stats_raw_gn_bpe100_sp/valid/text_shape.bpe
batch_type: numel
valid_batch_type: null
fold_length:
- 80000
- 150
sort_in_batch: descending
sort_batch: descending
multiple_iterator: false
chunk_length: 500
chunk_shift_ratio: 0.5
num_cache_chunks: 1024
train_data_path_and_name_and_type:
-   - dump/raw/train_gn_sp/wav.scp
    - speech
    - sound
-   - dump/raw/train_gn_sp/text
    - text
    - text
valid_data_path_and_name_and_type:
-   - dump/raw/dev_gn/wav.scp
    - speech
    - sound
-   - dump/raw/dev_gn/text
    - text
    - text
allow_variable_data_keys: false
max_cache_size: 0.0
max_cache_fd: 32
valid_max_cache_size: null
optim: adamw
optim_conf:
    lr: 0.0001
scheduler: warmuplr
scheduler_conf:
    warmup_steps: 300
token_list:
- <blank>
- <unk>
- ▁
- a
- i
- e
- o
- ''''
- .
- u
- '"'
- p
- r
- n
- y
- h
- ▁"
- ▁o
- é
- re
- va
- pe
- s
- ra
- á
- he
- t
- mb
- g
- ka
- ã
- v
- ve
- je
- ▁ha
- te
- k
- ñ
- ha
- py
- ta
- ku
- ẽ
- ja
- pa
- O
- mi
- ó
- mo
- j
- ko
- ʼ
- ña
- me
- ma
- c
- M
- í
- H
- ú
- A
- ̃
- õ
- ý
- m
- P
- U
- ','
- ũ
- l
- ỹ
- N
- ĩ
- E
- I
- J
- L
- Á
- V
- S
- z
- '-'
- '?'
- Ñ
- R
- G
- Y
- T
- K
- C
- d
- “
- B
- ’
- ”
- D
- b
- f
- q
- <sos/eos>
init: null
input_size: null
ctc_conf:
    dropout_rate: 0.0
    ctc_type: builtin
    reduce: true
    ignore_nan_grad: true
joint_net_conf: null
use_preprocessor: true
token_type: bpe
bpemodel: data/gn_token_list/bpe_unigram100/bpe.model
non_linguistic_symbols: null
cleaner: null
g2p: null
speech_volume_normalize: null
rir_scp: null
rir_apply_prob: 1.0
noise_scp: null
noise_apply_prob: 1.0
noise_db_range: '13_15'
frontend: s3prl
frontend_conf:
    frontend_conf:
        upstream: wav2vec2_url
        upstream_ckpt: https://dl.fbaipublicfiles.com/fairseq/wav2vec/xlsr2_300m.pt
    download_dir: ./hub
    multilayer_feature: true
    fs: 16k
specaug: null
specaug_conf: {}
normalize: utterance_mvn
normalize_conf: {}
model: espnet
model_conf:
    ctc_weight: 1.0
    lsm_weight: 0.0
    length_normalized_loss: false
    extract_feats_in_collect_stats: false
preencoder: linear
preencoder_conf:
    input_size: 1024
    output_size: 80
encoder: transformer
encoder_conf:
    input_layer: conv2d2
    num_blocks: 1
    linear_units: 2048
    dropout_rate: 0.2
    output_size: 256
    attention_heads: 8
    attention_dropout_rate: 0.2
postencoder: null
postencoder_conf: {}
decoder: rnn
decoder_conf: {}
required:
- output_dir
- token_list
version: '202204'
distributed: false