Update README.md

README.md

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         value: 0.430
         name: F1-score
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-** Work in progress **
 # 🔑 Keyphrase Extraction model: distilbert-openkp
 Keyphrase extraction is a technique in text analysis where you extract the important keyphrases from a text. Since this is a time-consuming process, Artificial Intelligence is used to automate it.
 Currently, classical machine learning methods, that use statistics and linguistics, are widely used for the extraction process. The fact that these methods have been widely used in the community has the advantage that there are many easy-to-use libraries. 
@@ -35,7 +34,7 @@ Now with the recent innovations in deep learning methods (such as recurrent neur
 
 
 ## 📓 Model Description
-This model is a fine-tuned distilbert model on the openkp dataset.
+This model is a fine-tuned distilbert model on the openkp dataset. More information can be found here: https://huggingface.co/distilbert-base-uncased.
 
 The model is fine-tuned as a token classification problem where the text is labeled using the BIO scheme.