docs: more clarification

README.md

@@ -40,6 +40,6 @@ After running the evaluation script, all results can be parsed with this [notebo
 
 # Summary
 
-The [TurBLiMP paper](https://arxiv.org/abs/2506.13487) used the [`dbmdz/bert-base-turkish-128k-uncased`](https://huggingface.co/dbmdz/bert-base-turkish-128k-uncased) model showing strong performance.
+The [TurBLiMP paper](https://arxiv.org/abs/2506.13487) used the [`dbmdz/bert-base-turkish-128k-uncased`](https://huggingface.co/dbmdz/bert-base-turkish-128k-uncased) for evaluation, yielding a strong performance.
 
 My evaluation here showed, that the  [`dbmdz/bert-base-turkish-128k-cased`](https://huggingface.co/dbmdz/bert-base-turkish-128k-cased) even performs better on the TurBLiMP benchmark.