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| | | # Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved. |
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| | | # MIT License (https://opensource.org/licenses/MIT) |
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| | | # which gpu to train or finetune |
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| | | export CUDA_VISIBLE_DEVICES="0" |
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| | | gpu_num=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}') |
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| | | # data dir, which contains: train.json, val.json, tokens.jsonl/tokens.txt, am.mvn |
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| | | #data_dir="/Users/zhifu/funasr1.0/data/list" |
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| | | |
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| | | ## generate jsonl from wav.scp and text.txt |
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| | | #python -m funasr.datasets.audio_datasets.scp2jsonl \ |
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| | | #++scp_file_list='["/Users/zhifu/funasr1.0/test_local/wav.scp", "/Users/zhifu/funasr1.0/test_local/text.txt"]' \ |
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| | | #++data_type_list='["source", "target"]' \ |
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| | | #++jsonl_file_out=/Users/zhifu/funasr1.0/test_local/audio_datasets.jsonl |
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| | | train_data="/nfs/beinian.lzr/workspace/tools/speech2speech_tools/speech2text/out_dir/tmp_wav.jsonl" |
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| | | val_data="/nfs/beinian.lzr/workspace/tools/speech2speech_tools/speech2text/out_dir/tmp_wav.jsonl" |
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| | | # exp output dir |
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| | | output_dir="/Users/zhifu/funasr1.0/test_local/data_tmp/" |
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| | | log_file="${output_dir}/log.txt" |
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| | | workspace=`pwd` |
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| | | config="whisper_qwen_linear2.yaml" |
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| | | init_param="${output_dir}/model.pt" |
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| | | mkdir -p ${output_dir} |
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| | | echo "log_file: ${log_file}" |
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| | | |
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| | | torchrun \ |
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| | | --nnodes 1 \ |
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| | | --nproc_per_node ${gpu_num} \ |
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| | | ../../../funasr/bin/train.py \ |
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| | | --config-path "${workspace}/conf" \ |
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| | | --config-name "${config}" \ |
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| | | ++train_data_set_list="${train_data}" \ |
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| | | ++valid_data_set_list="${val_data}" \ |
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| | | ++dataset_conf.batch_size=1 \ |
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| | | ++dataset_conf.num_workers=0 \ |
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| | | ++train_conf.max_epoch=15 \ |
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| | | ++train_conf.save_checkpoint_interval=1000 \ |
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| | | ++optim_conf.lr=0.0001 \ |
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| | | ++init_param="${init_param}" \ |
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| | | ++output_dir="${output_dir}" &> ${log_file} & |
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