From a0cf213251560211188360637fc9cf24355e9fe3 Mon Sep 17 00:00:00 2001
From: skindhu <skindhu@tencent.com>
Date: Thu, 7 Nov 2024 15:40:50 +0800
Subject: [PATCH] add fifth chapter

---
 cn-Book/5.在无标记数据集上进行预训练.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/cn-Book/5.在无标记数据集上进行预训练.md b/cn-Book/5.在无标记数据集上进行预训练.md
index 41d34ef..0154981 100644
--- a/cn-Book/5.在无标记数据集上进行预训练.md
+++ b/cn-Book/5.在无标记数据集上进行预训练.md
@@ -278,7 +278,7 @@ tensor([ -9.5042, -10.3796, -11.3677, -11.4798, -9.7764, -12.2561])
 >
 >    在计算交叉熵损失时，我们希望最大化模型分配给每个正确目标token的概率。交叉熵损失的数学公式为：
 >
->    $$ \text { Loss }=-\sum_{t=1}^{T} \ln P\left(y_{t} \mid x, \theta\right) $$
+>    $$\text { Loss }=-\sum_{t=1}^{T} \ln P\left(y_{t} \mid x, \theta\right)$$
 >
 >    其中：
 >