diff --git a/frontend/train_page.py b/frontend/train_page.py
index 06c33e6..3e7fcbb 100644
--- a/frontend/train_page.py
+++ b/frontend/train_page.py
@@ -33,9 +33,8 @@ def train_page():
         
         # 新增超参数输入组件
         learning_rate_input = gr.Number(value=2e-4, label="学习率")
-        per_device_train_batch_size_input = gr.Number(value=1, label="每设备训练批次大小", precision=0)
-        max_steps_input = gr.Number(value=60, label="最大训练步数", precision=0)
-        epoch_input = gr.Number(value=1, label="训练轮数", precision=0)
+        per_device_train_batch_size_input = gr.Number(value=1, label="batch size", precision=0)
+        epoch_input = gr.Number(value=1, label="epoch", precision=0)
         save_steps_input = gr.Number(value=20, label="保存步数", precision=0)  # 新增保存步数输入框
         
         train_button = gr.Button("开始微调")
@@ -43,7 +42,7 @@ def train_page():
         # 训练状态输出
         output = gr.Textbox(label="训练日志", interactive=False)
         
-        def train_model(dataset_name, max_seq_length, learning_rate, per_device_train_batch_size, epoch, save_steps):
+        def train_model(dataset_name, learning_rate, per_device_train_batch_size, epoch, save_steps):
             # 使用动态传入的超参数
             learning_rate = float(learning_rate)
             per_device_train_batch_size = int(per_device_train_batch_size)
@@ -135,7 +134,7 @@ def train_page():
             )
             
             # 开始训练
-            trainer_stats = trainer.train(resume_from_checkpoint=True)
+            trainer_stats = trainer.train(resume_from_checkpoint=False)
 
         train_button.click(
             fn=train_model,
@@ -143,7 +142,6 @@ def train_page():
                 dataset_dropdown,
                 learning_rate_input,
                 per_device_train_batch_size_input,
-                max_steps_input,
                 epoch_input,
                 save_steps_input
             ],