update data2vec_paraformer demo

egs_modelscope/asr/data2vec/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k/finetune.py

@@ -25,13 +25,13 @@ def modelscope_finetune(params):
 
 
 if __name__ == '__main__':
-    params = modelscope_args(model="damo/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch",
+    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 = 0.00005
+    params.lr = 0.00002
 
     modelscope_finetune(params)

egs_modelscope/asr/data2vec/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k/infer.py

@@ -18,7 +18,7 @@ def modelscope_infer_core(output_dir, split_dir, njob, idx):
         os.environ['CUDA_VISIBLE_DEVICES'] = str(gpu_id)
     inference_pipline = pipeline(
         task=Tasks.auto_speech_recognition,
-        model="damo/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch",
+        model="damo/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k",
         output_dir=output_dir_job,
     )
     audio_in = os.path.join(split_dir, "wav.{}.scp".format(idx))

egs_modelscope/asr/data2vec/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k/infer_after_finetune.py

@@ -44,7 +44,7 @@ def modelscope_infer_after_finetune(params):
 
 if __name__ == '__main__':
     params = {}
-    params["modelscope_model_name"] = "damo/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch"
+    params["modelscope_model_name"] = "damo/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k"
     params["required_files"] = ["am.mvn", "decoding.yaml", "configuration.json"]
     params["output_dir"] = "./checkpoint"
     params["data_dir"] = "./data/test"