Update README.md

README.md

@@ -34,7 +34,7 @@ and that single sequence masked language models like ESMFold can be used in atom
 AlphaFold2. In our approach we show a positive correlation between scaling the model size and data 
 in a 1-to-1 fashion provides competative and possibly even comparable to SOTA performance, although our comparison to the SOTA models is not as fair and 
 comprehensive as it could be (see [this report for more details](https://api.wandb.ai/links/amelie-schreiber-math/0asqd3hs) and also 
-[this repost](https://wandb.ai/amelie-schreiber-math/huggingface/reports/ESM-2-Binding-Sites-Predictor-Part-3-Scaling-Results--Vmlldzo1NDA3Nzcy?accessToken=npsm0tatgumcidfwxubzjyuhal512xu8sjmpnf11sebktjm9mheg69ja397q57ok)). 
+[this report](https://wandb.ai/amelie-schreiber-math/huggingface/reports/ESM-2-Binding-Sites-Predictor-Part-3-Scaling-Results--Vmlldzo1NDA3Nzcy?accessToken=npsm0tatgumcidfwxubzjyuhal512xu8sjmpnf11sebktjm9mheg69ja397q57ok)). 
 
 
 This model is a finetuned version of the 35M parameter `esm2_t12_35M_UR50D` ([see here](https://huggingface.co/facebook/esm2_t12_35M_UR50D)