From 6c1d9afd5de39b38442c3ec1f8427e5a59c6213e Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期二, 23 五月 2023 19:51:08 +0800
Subject: [PATCH] update repo

---
 docs/academic_recipe/asr_recipe.md |    9 ++++++++-
 1 files changed, 8 insertions(+), 1 deletions(-)

diff --git a/docs/academic_recipe/asr_recipe.md b/docs/academic_recipe/asr_recipe.md
index f2ac3e8..cedec60 100644
--- a/docs/academic_recipe/asr_recipe.md
+++ b/docs/academic_recipe/asr_recipe.md
@@ -13,7 +13,14 @@
 conda activate funasr
 . ./run.sh
 ```
-The training log files are saved in `exp/*_train_*/log/train.log.*` and the inference results are saved in `exp/*_train_*/decode_asr_*`.
+The training log files are saved in `exp/*_train_*/log/train.log.*`锛� which can be viewed using the following command:
+```sh
+vim exp/*_train_*/log/train.log.0
+```
+It should be looked like as follows:
+
+
+and the inference results are saved in `exp/*_train_*/decode_asr_*`.
 
 ## Introduction
 We provide a recipe `egs/aishell/paraformer/run.sh` for training a paraformer model on AISHELL-1 dataset. This recipe consists of five stages, supporting training on multiple GPUs and decoding by CPU or GPU. Before introducing each stage in detail, we first explain several parameters which should be set by users.

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