Update README.md

README.md

@@ -34,7 +34,16 @@ tags:
 
 # RobBERT finetuned for sentiment analysis on DBRD
 
-This is a finetuned model based on [RobBERT (v2)](https://huggingface.co/pdelobelle/robbert-v2-dutch-base). We used [DBRD](https://huggingface.co/datasets/dbrd), which consists of book reviews from [hebban.nl](hebban.nl). Hence our example sentences about books. We did some limited experiments to test if this also works for other domains, but this was not 
+This is a finetuned model based on [RobBERT (v2)](https://huggingface.co/pdelobelle/robbert-v2-dutch-base). We used [DBRD](https://huggingface.co/datasets/dbrd), which consists of book reviews from [hebban.nl](hebban.nl). Hence our example sentences about books. We did some limited experiments to test if this also works for other domains, but this was not exactly amazing. 
+
+We released a distilled model and a `base`-sized model. Both models perform quite well, so there is only a slight performance tradeoff:
+
+
+| Model          | Identifier                                                             | #Params.  | Accuracy  |
+|----------------|------------------------------------------------------------------------|-----------|-----------|
+| RobBERT (v2)   | [`DTAI-KULeuven/robbert-v2-dutch-sentiment`](https://huggingface.co/DTAI-KULeuven/robbert-v2-dutch-sentiment)         | 110 M     |93.3*      | 
+|  Merged (p=0.5)| [`DTAI-KULeuven/robbertje-merged-dutch-sentiment`](https://huggingface.co/DTAI-KULeuven/robbertje-merged-dutch-sentiment) | 74 M      |92.9       |
+*The results of RobBERT are of a different run than the one reported in the paper.
 
 # Training data and setup
 We used the [Dutch Book Reviews Dataset (DBRD)](https://huggingface.co/datasets/dbrd) from van der Burgh et al. (2019).