Update README.md

README.md

@@ -115,7 +115,7 @@ The following table summarizes the results for [fnet-base](https://huggingface.c
 | MRPC | mean(F1/Accuracy) | [81.15](https://huggingface.co/gchhablani/fnet-base-finetuned-mrpc) | [88.15](https://huggingface.co/gchhablani/bert-base-cased-finetuned-mrpc) | 76 | 
 | RTE | Accuracy | [62.82](https://huggingface.co/gchhablani/fnet-base-finetuned-rte) | [67.15](https://huggingface.co/gchhablani/bert-base-cased-finetuned-rte) | 63 |
 | WNLI | Accuracy | [54.93](https://huggingface.co/gchhablani/fnet-base-finetuned-wnli) | [46.48](https://huggingface.co/gchhablani/bert-base-cased-finetuned-wnli) | - |
-| Avg  | - | - | - | 76.7 |
+| Avg  | - | 72.7 | 78.6 | 76.7 |
 
 We can see that FNet-base achieves around 93% of BERT-base's performance on average.