| | |
| | | --nnodes 1 \ |
| | | --nproc_per_node ${gpu_num} \ |
| | | funasr/bin/train.py \ |
| | | ++model="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" \ |
| | | ++model="iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" \ |
| | | ++model_revision="v2.0.4" \ |
| | | ++train_data_set_list="${train_data}" \ |
| | | ++valid_data_set_list="${val_data}" \ |
| | | ++dataset_conf.batch_size=32 \ |
| | | ++dataset_conf.batch_type="example" \ |
| | | ++dataset_conf.batch_size=20000 \ |
| | | ++dataset_conf.batch_type="token" \ |
| | | ++dataset_conf.num_workers=4 \ |
| | | ++train_conf.max_epoch=20 \ |
| | | ++train_conf.max_epoch=50 \ |
| | | ++train_conf.log_interval=10 \ |
| | | ++train_conf.resume=false \ |
| | | ++train_conf.validate_interval=15 \ |
| | | ++train_conf.save_checkpoint_interval=15 \ |
| | | ++train_conf.keep_nbest_models=50 \ |
| | | ++optim_conf.lr=0.0002 \ |
| | | ++output_dir="${output_dir}" &> ${log_file} |