diff --git a/README.md b/README.md
index a2697be..d8312d0 100644
--- a/README.md
+++ b/README.md
@@ -28,7 +28,7 @@ Author: Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo,
     
     1、Download YFCC15M
 
-    The YFCC15M dataset we used is [YFCC15M-DeCLIP](https://arxiv.org/abs/2110.05208), we download it from the [repo](https://github.com/AdamRain/YFCC15M_downloader), finally we successful donwload 15061515 image-text pairs.
+    The YFCC15M dataset we used is [YFCC15M-DeCLIP](https://arxiv.org/abs/2110.05208), we download it from the [repo](https://github.com/AdamRain/YFCC15M_downloader), finally we successful download 15061515 image-text pairs.
 
     2、Generate synthetic caption
 
@@ -40,7 +40,7 @@ Author: Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo,
 
 - ### Pretrained Model Weight
 
-    You can download the pretrained model weight from [Google Drive](https://drive.google.com/file/d/1AqSHisCKZOZ16Q3sYguK6zIZIuwwEriE/view?usp=share_link) or [BaiduYun](https://pan.baidu.com/s/10dFfvGMWeaTXUyrZlZlCEw?pwd=xftg), and you can find the traning log in [Google Drive](https://drive.google.com/file/d/1I8gdSQCJAfFamDcVztwW8EQIc_OOK8Xh/view?usp=share_link) or [BaiduYun](https://pan.baidu.com/s/1oz0UVzX2N0Sri7MfwR-kog?pwd=7ki7)
+    You can download the pretrained model weight from [Google Drive](https://drive.google.com/file/d/1AqSHisCKZOZ16Q3sYguK6zIZIuwwEriE/view?usp=share_link) or [BaiduYun](https://pan.baidu.com/s/10dFfvGMWeaTXUyrZlZlCEw?pwd=xftg), and you can find the training log in [Google Drive](https://drive.google.com/file/d/1I8gdSQCJAfFamDcVztwW8EQIc_OOK8Xh/view?usp=share_link) or [BaiduYun](https://pan.baidu.com/s/1oz0UVzX2N0Sri7MfwR-kog?pwd=7ki7)
 
 - ### Training
 
@@ -51,7 +51,7 @@ Author: Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo,
 
 - ### Evaluation
 
-    Evaluate zero shot cross-modal retireval
+    Evaluate zero shot cross-modal retrieval
 
     ```
     bash run_retrieval.sh
diff --git a/text_image_retrieval.py b/text_image_retrieval.py
index 22a5dde..6740df4 100644
--- a/text_image_retrieval.py
+++ b/text_image_retrieval.py
@@ -8,7 +8,7 @@
                 'flickr': flickr30k}
 
 def compute_retrieval(similarity_scores, txt2img, img2txt):
-    # comput text -> image
+    # compute text -> image
     t2i_similarity_score = similarity_scores.t()
     t2i_ranks = torch.zeros(t2i_similarity_score.shape[0])
 
@@ -23,7 +23,7 @@ def compute_retrieval(similarity_scores, txt2img, img2txt):
     tr10 = 100.0 * len(torch.where(t2i_ranks < 10)[0]) / len(t2i_ranks)
     t2i_report_dict = {"r1": tr1, "r5": tr5, "r10": tr10}
 
-    #comput image -> text
+    #compute image -> text
     i2t_similarity_score = similarity_scores
     i2t_ranks = torch.zeros(i2t_similarity_score.shape[0])
     for index, score in enumerate(i2t_similarity_score):
@@ -136,4 +136,4 @@ def main(args):
     parser.add_argument("--model-weight", default= "/mnt/laion/clip/vit_b_16-laion400m_e32-55e67d44.pt")
     parser.add_argument("--input-size", default=224, type=int, help="Image resolution.")
     args = parser.parse_args()
-    main(args)
\ No newline at end of file
+    main(args)