train update

游雁

2024-03-27 9b4e9cc8a0311e5243d69b73ed073e7ea441982e

 examples/industrial_data_pretraining/llm_asr/demo_train_or_finetune.sh

@@ -15,8 +15,8 @@
#++data_type_list='["source", "target"]' \
#++jsonl_file_out=/Users/zhifu/funasr1.0/test_local/audio_datasets.jsonl

train_data="/nfs/zhifu.gzf/data/datalist/aishell1_aishell2_wav_speech_llm_train_data_del_tail500.json"
val_data="/nfs/zhifu.gzf/data/datalist/aishell1_aishell2_wav_speech_llm_train_data_tail500.json"
train_data="/nfs/maziyang.mzy/data/librispeech/librispeech_train_960h.jsonl"
val_data="/nfs/maziyang.mzy/data/librispeech/librispeech_dev_other_filtered.jsonl"

# exp output dir
output_dir="/nfs/zhifu.gzf/ckpt/exp/llm_asr_whisper_vicuna_exp1"
@@ -38,10 +38,9 @@
--config-name "${config}" \
++train_data_set_list="${train_data}" \
++valid_data_set_list="${val_data}" \
++dataset_conf.batch_size=2 \
++dataset_conf.batch_type="example" \
++dataset_conf.num_workers=0 \
++train_conf.max_epoch=11 \
++optim_conf.lr=0.0002 \
++dataset_conf.batch_size=4 \
++dataset_conf.num_workers=4 \
++train_conf.max_epoch=15 \
++optim_conf.lr=0.0001 \
++init_param="${init_param}" \
++output_dir="${output_dir}" &> ${log_file}
++output_dir="${output_dir}" &> ${log_file} &