diff --git a/src/py3.x/tensorflow2.x/Emotion_acc.png b/src/py3.x/tensorflow2.x/Emotion_acc.png
index a323c605..d40f1a2c 100644
Binary files a/src/py3.x/tensorflow2.x/Emotion_acc.png and b/src/py3.x/tensorflow2.x/Emotion_acc.png differ
diff --git a/src/py3.x/tensorflow2.x/Emotion_loss.png b/src/py3.x/tensorflow2.x/Emotion_loss.png
index 830d4b51..8bbb6cc9 100644
Binary files a/src/py3.x/tensorflow2.x/Emotion_loss.png and b/src/py3.x/tensorflow2.x/Emotion_loss.png differ
diff --git a/src/py3.x/tensorflow2.x/config.py b/src/py3.x/tensorflow2.x/config.py
index b865d28b..7a7322f0 100644
--- a/src/py3.x/tensorflow2.x/config.py
+++ b/src/py3.x/tensorflow2.x/config.py
@@ -15,7 +15,7 @@ class Config(object):
     # 根据前六个字预测第七个字
     max_len = 6
     batch_size = 512
-    learning_rate = 0.005
+    learning_rate = 0.0005
     pre_num = 3
     MAX_SEQUENCE_LENGTH = 1000  # 每个文本或者句子的截断长度，只保留1000个单词
     EMBEDDING_DIM = 60 # 词向量维度
diff --git a/src/py3.x/tensorflow2.x/text_Emotion.py b/src/py3.x/tensorflow2.x/text_Emotion.py
index 3d1d5bf0..b8437a76 100644
--- a/src/py3.x/tensorflow2.x/text_Emotion.py
+++ b/src/py3.x/tensorflow2.x/text_Emotion.py
@@ -163,7 +163,7 @@ class EmotionModel(object):
         preds = Dense(self.pre_num, activation='softmax')(x)
         self.model = Model(sequence_input, preds)
         # 设置优化器
-        optimizer = Adam(lr=self.config.learning_rate)
+        optimizer = Adam(lr=self.config.learning_rate, beta_1=0.95, beta_2=0.999,epsilon=1e-08)
         self.model.compile(optimizer=optimizer, loss='categorical_crossentropy', metrics=['accuracy'])
         self.model.summary()