Update README.md

README.md

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 # Visual semantic with BERT-CNN
 
 This model can be used to assign an object-to-caption relatedness score, which is valuable for
-(1) caption diverse re-ranking, and (2) generate soft labels for caption filtering when scraping image captions from the internet. 
+(1) caption diverse re-ranking, and (2) generate soft labels for caption filtering when scraping text-to-captions from the internet. 
 
- For quick start please have a look this [colab](https://colab.research.google.com/drive/1N0JVa6y8FKGLLSpiG7hd_W75UYhHRe2j?usp=sharing)
+The model is trained with a strict filter of 0.4 similarity distance thresholds between the object and its related caption.   
+
+ For a quick start please have a look at this [colab](https://colab.research.google.com/drive/1N0JVa6y8FKGLLSpiG7hd_W75UYhHRe2j?usp=sharing)
  
  For the [dataset](https://huggingface.co/datasets/AhmedSSabir/Textual-Image-Caption-Dataset)