From 0f0ab681292867606299e99e165315b9a92cd6d8 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 10 三月 2023 19:18:09 +0800
Subject: [PATCH] egs

---
 /dev/null |   37 -------------------------------------
 1 files changed, 0 insertions(+), 37 deletions(-)

diff --git a/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/finetune2.py b/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/finetune2.py
deleted file mode 100644
index fdd2aa2..0000000
--- a/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/finetune2.py
+++ /dev/null
@@ -1,37 +0,0 @@
-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_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch", data_path="./data")
-    params.output_dir = "./checkpoint"              # m妯″瀷淇濆瓨璺緞
-    params.data_path = "./example_data/"            # 鏁版嵁璺緞
-    params.dataset_type = "small"                   # 灏忔暟鎹噺璁剧疆small锛岃嫢鏁版嵁閲忓ぇ浜�1000灏忔椂锛岃浣跨敤large
-    params.batch_bins = 2000                        # batch size锛屽鏋渄ataset_type="small"锛宐atch_bins鍗曚綅涓篺bank鐗瑰緛甯ф暟锛屽鏋渄ataset_type="large"锛宐atch_bins鍗曚綅涓烘绉掞紝
-    params.max_epoch = 50                           # 鏈�澶ц缁冭疆鏁�
-    params.lr = 0.0005                              # 璁剧疆瀛︿範鐜�
-    params.scheduler_conf = {"warmup_steps": 30000}
-    
-    modelscope_finetune(params)

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