diff --git a/README.md b/README.md
index a502bba..5e54f9b 100644
--- a/README.md
+++ b/README.md
@@ -21,10 +21,16 @@ python prepare_pems_bay.py
 
 根据BasicTS仓库配置BasicTS环境，亦或是使用
 
-`pip install -r requirement.txt`
+`pip install -r requirements.txt`
 
 我是直接使用现有的BasicTS环境，因此没有做过测试
 
+创建log文件夹到项目仓库
+
+```bash
+mkdir log
+```
+
 开跑
 ```python
 python run.py --root_path datasets --data_path PEMS-BAY --device cuda:0 --seq_len 12 --pred_len 12
diff --git a/models/repst.py b/models/repst.py
index adf4908..a915e9c 100644
--- a/models/repst.py
+++ b/models/repst.py
@@ -7,8 +7,8 @@ from transformers.models.gpt2.modeling_gpt2 import GPT2Model
 from transformers import GPT2Model, GPT2Config
 
 from einops import rearrange
-from .reprogramming import *
-from .normalizer import *
+from models.reprogramming import *
+from models.normalizer import *
 
 class repst(nn.Module):
 
diff --git a/requirements.txt b/requirements.txt
index f1a59c5..0834779 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,11 +1,11 @@
-torch==2.0.1
-accelerate==0.26.1
-einops==0.6.0
-matplotlib==3.8.2
-numpy==1.24.4
-pandas==2.1.4
-scikit-learn==1.3.2
-scipy==1.11.4
-tqdm==4.66.1
-transformers==4.36.2
+torch
+accelerate
+einops
+matplotlib
+numpy
+pandas
+scikit-learn
+scipy
+tqdm
+transformers
 
diff --git a/utils/former_tools.py b/utils/former_tools.py
index 34f4415..fa2e8b7 100644
--- a/utils/former_tools.py
+++ b/utils/former_tools.py
@@ -47,7 +47,7 @@ class EarlyStopping:
         self.counter = 0
         self.best_score = None
         self.early_stop = False
-        self.val_loss_min = np.Inf
+        self.val_loss_min = np.inf
         self.delta = delta
 
     def __call__(self, val_loss, model, path):
diff --git a/utils/tools.py b/utils/tools.py
index a911d8d..0a2c592 100644
--- a/utils/tools.py
+++ b/utils/tools.py
@@ -47,7 +47,7 @@ class EarlyStopping:
         self.counter = 0
         self.best_score = None
         self.early_stop = False
-        self.val_loss_min = np.Inf
+        self.val_loss_min = np.inf
         self.delta = delta
 
     def __call__(self, val_loss, model, path):