FunASR/examples/industrial_data_pretraining/paraformer/finetune.sh
zhifu gao 8c87a9d8a7
Dev gzf deepspeed (#1858)
* total_time/accum_grad

* fp16

* update with main (#1817)

* add cmakelist

* add paraformer-torch

* add debug for funasr-onnx-offline

* fix redefinition of jieba StdExtension.hpp

* add loading torch models

* update funasr-onnx-offline

* add SwitchArg for wss-server

* add SwitchArg for funasr-onnx-offline

* update cmakelist

* update funasr-onnx-offline-rtf

* add define condition

* add gpu define for offlne-stream

* update com define

* update offline-stream

* update cmakelist

* update func CompileHotwordEmbedding

* add timestamp for paraformer-torch

* add C10_USE_GLOG for paraformer-torch

* update paraformer-torch

* fix func FunASRWfstDecoderInit

* update model.h

* fix func FunASRWfstDecoderInit

* fix tpass_stream

* update paraformer-torch

* add bladedisc for funasr-onnx-offline

* update comdefine

* update funasr-wss-server

* add log for torch

* fix GetValue BLADEDISC

* fix log

* update cmakelist

* update warmup to 10

* update funasrruntime

* add batch_size for wss-server

* add batch for bins

* add batch for offline-stream

* add batch for paraformer

* add batch for offline-stream

* fix func SetBatchSize

* add SetBatchSize for model

* add SetBatchSize for model

* fix func Forward

* fix padding

* update funasrruntime

* add dec reset for batch

* set batch default value

* add argv for CutSplit

* sort frame_queue

* sorted msgs

* fix FunOfflineInfer

* add dynamic batch for fetch

* fix FetchDynamic

* update run_server.sh

* update run_server.sh

* cpp http post server support (#1739)

* add cpp http server

* add some comment

* remove some comments

* del debug infos

* restore run_server.sh

* adapt to new model struct

* 修复了onnxruntime在macos下编译失败的错误 (#1748)

* Add files via upload

增加macos的编译支持

* Add files via upload

增加macos支持

* Add files via upload

target_link_directories(funasr PUBLIC ${ONNXRUNTIME_DIR}/lib)
target_link_directories(funasr PUBLIC ${FFMPEG_DIR}/lib)
添加 if(APPLE) 限制

---------

Co-authored-by: Yabin Li <wucong.lyb@alibaba-inc.com>

* Delete docs/images/wechat.png

* Add files via upload

* fixed the issues about seaco-onnx timestamp

* fix bug (#1764)

当语音识别结果包含 `http` 时,标点符号预测会把它会被当成 url

* fix empty asr result (#1765)

解码结果为空的语音片段,text 用空字符串

* update export

* update export

* docs

* docs

* update export name

* docs

* update

* docs

* docs

* keep empty speech result (#1772)

* docs

* docs

* update wechat QRcode

* Add python funasr api support for websocket srv (#1777)

* add python funasr_api supoort

* change little to README.md

* add core tools stream

* modified a little

* fix bug for timeout

* support for buffer decode

* add ffmpeg decode for buffer

* libtorch demo

* update libtorch infer

* update utils

* update demo

* update demo

* update libtorch inference

* update model class

* update seaco paraformer

* bug fix

* bug fix

* auto frontend

* auto frontend

* auto frontend

* auto frontend

* auto frontend

* auto frontend

* auto frontend

* auto frontend

* Dev gzf exp (#1785)

* resume from step

* batch

* batch

* batch

* batch

* batch

* batch

* batch

* batch

* batch

* batch

* batch

* batch

* batch

* batch

* batch

* train_loss_avg train_acc_avg

* train_loss_avg train_acc_avg

* train_loss_avg train_acc_avg

* log step

* wav is not exist

* wav is not exist

* decoding

* decoding

* decoding

* wechat

* decoding key

* decoding key

* decoding key

* decoding key

* decoding key

* decoding key

* dynamic batch

* start_data_split_i=0

* total_time/accum_grad

* total_time/accum_grad

* total_time/accum_grad

* update avg slice

* update avg slice

* sensevoice sanm

* sensevoice sanm

* sensevoice sanm

---------

Co-authored-by: 北念 <lzr265946@alibaba-inc.com>

* auto frontend

* update paraformer timestamp

* [Optimization] support bladedisc fp16 optimization (#1790)

* add cif_v1 and cif_export

* Update SDK_advanced_guide_offline_zh.md

* add cif_wo_hidden_v1

* [fix] fix empty asr result (#1794)

* english timestamp for valilla paraformer

* wechat

* [fix] better solution for handling empty result (#1796)

* update scripts

* modify the qformer adaptor (#1804)

Co-authored-by: nichongjia-2007 <nichongjia@gmail.com>

* add ctc inference code (#1806)

Co-authored-by: haoneng.lhn <haoneng.lhn@alibaba-inc.com>

* Update auto_model.py

修复空字串进入speaker model时报raw_text变量不存在的bug

* Update auto_model.py

修复识别出空串后spk_model内变量未定义问题

* update model name

* fix paramter 'quantize' unused issue (#1813)

Co-authored-by: ZihanLiao <liaozihan1@xdf.cn>

* wechat

* Update cif_predictor.py (#1811)

* Update cif_predictor.py

* modify cif_v1_export

under extreme cases, max_label_len calculated by batch_len misaligns with token_num

* Update cif_predictor.py

torch.cumsum precision degradation, using float64 instead

* update code

---------

Co-authored-by: 雾聪 <wucong.lyb@alibaba-inc.com>
Co-authored-by: zhaomingwork <61895407+zhaomingwork@users.noreply.github.com>
Co-authored-by: szsteven008 <97944818+szsteven008@users.noreply.github.com>
Co-authored-by: Ephemeroptera <605686962@qq.com>
Co-authored-by: 彭震东 <zhendong.peng@qq.com>
Co-authored-by: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
Co-authored-by: 维石 <shixian.shi@alibaba-inc.com>
Co-authored-by: 北念 <lzr265946@alibaba-inc.com>
Co-authored-by: xiaowan0322 <wanchen.swc@alibaba-inc.com>
Co-authored-by: zhuangzhong <zhuangzhong@corp.netease.com>
Co-authored-by: Xingchen Song(宋星辰) <xingchensong1996@163.com>
Co-authored-by: nichongjia-2007 <nichongjia@gmail.com>
Co-authored-by: haoneng.lhn <haoneng.lhn@alibaba-inc.com>
Co-authored-by: liugz18 <57401541+liugz18@users.noreply.github.com>
Co-authored-by: Marlowe <54339989+ZihanLiao@users.noreply.github.com>
Co-authored-by: ZihanLiao <liaozihan1@xdf.cn>
Co-authored-by: zhong zhuang <zhuangz@lamda.nju.edu.cn>

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* v1.0.28 (#1836)

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* sensevoice

* update (#1841)

* v1.0.28

* version checker

* version checker

* rollback cif_v1 for training bug

* fixbug

* fixbug for cif

* fixbug

---------

Co-authored-by: 维石 <shixian.shi@alibaba-inc.com>

* update (#1842)

* v1.0.28

* version checker

* version checker

* rollback cif_v1 for training bug

* fixbug

* fixbug for cif

* fixbug

---------

Co-authored-by: 维石 <shixian.shi@alibaba-inc.com>

* inference

* inference

* inference

* requests

* finetune

* finetune

* finetune

* finetune

* finetune

* add inference prepare func (#1848)

* docs

* docs

* docs

* docs

* docs

---------

Co-authored-by: 雾聪 <wucong.lyb@alibaba-inc.com>
Co-authored-by: zhaomingwork <61895407+zhaomingwork@users.noreply.github.com>
Co-authored-by: szsteven008 <97944818+szsteven008@users.noreply.github.com>
Co-authored-by: Ephemeroptera <605686962@qq.com>
Co-authored-by: 彭震东 <zhendong.peng@qq.com>
Co-authored-by: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
Co-authored-by: 维石 <shixian.shi@alibaba-inc.com>
Co-authored-by: 北念 <lzr265946@alibaba-inc.com>
Co-authored-by: xiaowan0322 <wanchen.swc@alibaba-inc.com>
Co-authored-by: zhuangzhong <zhuangzhong@corp.netease.com>
Co-authored-by: Xingchen Song(宋星辰) <xingchensong1996@163.com>
Co-authored-by: nichongjia-2007 <nichongjia@gmail.com>
Co-authored-by: haoneng.lhn <haoneng.lhn@alibaba-inc.com>
Co-authored-by: liugz18 <57401541+liugz18@users.noreply.github.com>
Co-authored-by: Marlowe <54339989+ZihanLiao@users.noreply.github.com>
Co-authored-by: ZihanLiao <liaozihan1@xdf.cn>
Co-authored-by: zhong zhuang <zhuangz@lamda.nju.edu.cn>
Co-authored-by: PerfeZ <90945395+PerfeZ@users.noreply.github.com>
2024-06-28 17:28:09 +08:00

82 lines
2.6 KiB
Bash

# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
# MIT License (https://opensource.org/licenses/MIT)
workspace=`pwd`
# which gpu to train or finetune
export CUDA_VISIBLE_DEVICES="0,1"
gpu_num=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
# model_name from model_hub, or model_dir in local path
## option 1, download model automatically
model_name_or_model_dir="iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
## option 2, download model by git
#local_path_root=${workspace}/modelscope_models
#mkdir -p ${local_path_root}/${model_name_or_model_dir}
#git clone https://www.modelscope.cn/${model_name_or_model_dir}.git ${local_path_root}/${model_name_or_model_dir}
#model_name_or_model_dir=${local_path_root}/${model_name_or_model_dir}
# data dir, which contains: train.json, val.json
data_dir="../../../data/list"
train_data="${data_dir}/train.jsonl"
val_data="${data_dir}/val.jsonl"
# generate train.jsonl and val.jsonl from wav.scp and text.txt
scp2jsonl \
++scp_file_list='["../../../data/list/train_wav.scp", "../../../data/list/train_text.txt"]' \
++data_type_list='["source", "target"]' \
++jsonl_file_out="${train_data}"
scp2jsonl \
++scp_file_list='["../../../data/list/val_wav.scp", "../../../data/list/val_text.txt"]' \
++data_type_list='["source", "target"]' \
++jsonl_file_out="${val_data}"
# exp output dir
output_dir="./outputs"
log_file="${output_dir}/log.txt"
deepspeed_config=${workspace}/../../ds_stage1.json
mkdir -p ${output_dir}
echo "log_file: ${log_file}"
DISTRIBUTED_ARGS="
--nnodes ${WORLD_SIZE:-1} \
--nproc_per_node $gpu_num \
--node_rank ${RANK:-0} \
--master_addr ${MASTER_ADDR:-127.0.0.1} \
--master_port ${MASTER_PORT:-26669}
"
echo $DISTRIBUTED_ARGS
torchrun $DISTRIBUTED_ARGS \
../../../funasr/bin/train_ds.py \
++model="${model_name_or_model_dir}" \
++train_data_set_list="${train_data}" \
++valid_data_set_list="${val_data}" \
++dataset="AudioDataset" \
++dataset_conf.index_ds="IndexDSJsonl" \
++dataset_conf.data_split_num=1 \
++dataset_conf.batch_sampler="BatchSampler" \
++dataset_conf.batch_size=6000 \
++dataset_conf.sort_size=1024 \
++dataset_conf.batch_type="token" \
++dataset_conf.num_workers=4 \
++train_conf.max_epoch=50 \
++train_conf.log_interval=1 \
++train_conf.resume=true \
++train_conf.validate_interval=2000 \
++train_conf.save_checkpoint_interval=2000 \
++train_conf.keep_nbest_models=20 \
++train_conf.avg_nbest_model=10 \
++train_conf.use_deepspeed=false \
++train_conf.deepspeed_config=${deepspeed_config} \
++optim_conf.lr=0.0002 \
++output_dir="${output_dir}" &> ${log_file}