SenseVoiceSmall / config.yaml
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encoder: SenseVoiceEncoderSmall
encoder_conf:
output_size: 512
attention_heads: 4
linear_units: 2048
num_blocks: 50
tp_blocks: 20
dropout_rate: 0.1
positional_dropout_rate: 0.1
attention_dropout_rate: 0.1
input_layer: pe
pos_enc_class: SinusoidalPositionEncoder
normalize_before: true
kernel_size: 11
sanm_shfit: 0
selfattention_layer_type: sanm
model: SenseVoiceSmall
model_conf:
length_normalized_loss: true
sos: 1
eos: 2
ignore_id: -1
tokenizer: SentencepiecesTokenizer
tokenizer_conf:
bpemodel: null
unk_symbol: <unk>
split_with_space: true
frontend: WavFrontend
frontend_conf:
fs: 16000
window: hamming
n_mels: 80
frame_length: 25
frame_shift: 10
lfr_m: 7
lfr_n: 6
cmvn_file: null
dataset: SenseVoiceCTCDataset
dataset_conf:
index_ds: IndexDSJsonl
batch_sampler: EspnetStyleBatchSampler
data_split_num: 32
batch_type: token
batch_size: 14000
max_token_length: 2000
min_token_length: 60
max_source_length: 2000
min_source_length: 60
max_target_length: 200
min_target_length: 0
shuffle: true
num_workers: 4
sos: ${model_conf.sos}
eos: ${model_conf.eos}
IndexDSJsonl: IndexDSJsonl
retry: 20
train_conf:
accum_grad: 1
grad_clip: 5
max_epoch: 20
keep_nbest_models: 10
avg_nbest_model: 10
log_interval: 100
resume: true
validate_interval: 10000
save_checkpoint_interval: 10000
optim: adamw
optim_conf:
lr: 0.00002
scheduler: warmuplr
scheduler_conf:
warmup_steps: 25000
specaug: SpecAugLFR
specaug_conf:
apply_time_warp: false
time_warp_window: 5
time_warp_mode: bicubic
apply_freq_mask: true
freq_mask_width_range:
- 0
- 30
lfr_rate: 6
num_freq_mask: 1
apply_time_mask: true
time_mask_width_range:
- 0
- 12
num_time_mask: 1