From 19f416f5fc916d985b91733a0fd6271517b9fe0f Mon Sep 17 00:00:00 2001 From: zhifu gao <zhifu.gzf@alibaba-inc.com> Date: 星期五, 10 二月 2023 19:33:36 +0800 Subject: [PATCH] Merge pull request #96 from alibaba-damo-academy/main --- egs_modelscope/asr/data2vec/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k/finetune.py | 37 +++++++++++++++++++++++++++++++++++++ 1 files changed, 37 insertions(+), 0 deletions(-) diff --git a/egs_modelscope/asr/data2vec/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k/finetune.py b/egs_modelscope/asr/data2vec/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k/finetune.py new file mode 100644 index 0000000..a5f1ee4 --- /dev/null +++ b/egs_modelscope/asr/data2vec/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k/finetune.py @@ -0,0 +1,37 @@ +import os + +from modelscope.metainfo import Trainers +from modelscope.trainers import build_trainer + +from funasr.datasets.ms_dataset import MsDataset +from funasr.utils.modelscope_param import modelscope_args + + +def modelscope_finetune(params): + if not os.path.exists(params.output_dir): + os.makedirs(params.output_dir, exist_ok=True) + # dataset split ["train", "validation"] + ds_dict = MsDataset.load(params.data_path) + kwargs = dict( + model=params.model, + data_dir=ds_dict, + dataset_type=params.dataset_type, + work_dir=params.output_dir, + batch_bins=params.batch_bins, + max_epoch=params.max_epoch, + lr=params.lr) + trainer = build_trainer(Trainers.speech_asr_trainer, default_args=kwargs) + trainer.train() + + +if __name__ == '__main__': + params = modelscope_args(model="damo/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k", + data_path="./data") + params.output_dir = "./checkpoint" + params.data_path = "./example_data/" + params.dataset_type = "small" + params.batch_bins = 16000 + params.max_epoch = 50 + params.lr = 0.00002 + + modelscope_finetune(params) -- Gitblit v1.9.1