tools/damo_asr/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/finetune.yaml

# minibatch related
# # dataset_type: small
batch_type: length
batch_bins: 2000
num_workers: 16
speech_length_min: 100
speech_length_max: 15000
# dataset_type: large
dataset_conf:
    data_types: sound,text
    filter_conf:
        speech_length_min: 100
        speech_length_max: 15000
        token_length_min: 0
        token_length_max: 200
    shuffle: true
    shuffle_conf:
        shuffle_size: 2048
        sort_size: 500
    batch_conf:
        batch_type: 'token'
        batch_size: 120000
    num_workers: 16

# optimization related
accum_grad: 1
grad_clip: 5
max_epoch: 20
keep_nbest_models: 10
optim: adam
optim_conf:
   lr: 0.0005
scheduler: warmuplr
scheduler_conf:
   warmup_steps: 30000

log_interval: 50