Update README.md

README.md

@@ -10,12 +10,15 @@ On l'appelle ChouBERT parce qu'il est fait pour surveiller les végétaux comme
 
 We further pre-trained CamemBERT base model on French plant health bulletins and Tweets to build ChouBERT.
 
-ChouBERT-n are pre-trained for n epochs with MLM. 
+ChouBERT-n are pre-trained for n epochs with MLM. You may use these models if you want to reproduce our experiments.
 
 ChouBERT-n-plant-health-ner are fine-tuned ChouBERT-n for Named Entity Recongnition (NER) in plant health domain. We will upload the NER paper later.
 
 ChouBERT-n-plant-health-tweet-classifier are fine-tuned ChouBERT-n for distinguishing tweets about Plant Health observation from other tweets. We describe how we build ChouBRET in this paper: <https://hal.archives-ouvertes.fr/hal-03621123>
 
+Our work shows that ChouBERT-16 and ChouBERT-32-based classifiers are the most generalizable for recognizing unseen hazards, especially polysemous terms. 
+We also upload the CamemBERT-based classifiers as the baseline.
+
 ### BibTeX entry
 
 ```bibtex