Update README.md

README.md

@@ -15,7 +15,7 @@ Retrieval](https://arxiv.org/pdf/2104.08860.pdf) by Lou et el, and implemented i
 
 The training process involved 150,000 videos obtained from the [WebVid Dataset](https://m-bain.github.io/webvid-dataset/), a comprehensive collection of short videos with corresponding textual descriptions sourced from the web.
 
-To adapt the clip model obtained during training, we adjusted the weights and integrated them into the implementation of [clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32).
+To adapt the clip model obtained during training into the implementation of [clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32), we have made modifications to the weights.
 
 ### Use with Transformers
 ### Extracting Text Embeddings:
@@ -45,11 +45,10 @@ For video embedding there is an extra [notebook](https://huggingface.co/Diangle/
 
 ## Model Intended Use
 
-This model is intended to use for video retrival, look for example this [**SPACE**](https://huggingface.co/spaces/Diangle/Clip4Clip-webvid). 
+This model is intended to use for video retrieval, look for example this [**SPACE**](https://huggingface.co/spaces/Diangle/Clip4Clip-webvid). 
 
-## Performance and Limitations
 
-### Performance
+## Performance
 
 We have evaluated the performance of differenet models on the last 10k video clips from Webvid database.