Update README.md

README.md

@@ -43,9 +43,9 @@ For this purpose, we translated the sentence pairs in these dataset to German.
 
 ### Performance
 
-We evaluated our model for the nli task using the TEST set of the German part of the [xnli](https://huggingface.co/datasets/xnli dataset).
+We evaluated our model for the nli task using the TEST set of the German part of the [xnli](https://huggingface.co/datasets/xnli) dataset.
 
-TEST-Set Accuracy: 86% 
+XNLI TEST-Set Accuracy: 86% 
 
 
 ## Zeroshot Text Classification Task Benchmark 
@@ -55,13 +55,14 @@ Specifically, we used all articles that were labeled "Kultur", "Sport", "Web", "
 
 The next table shows the results as well as a comparison with other German language zeroshot options performing the same task: 
 
-| Model               | NDCG@1 | NDCG@5 | NDCG@10 | Recall@1 | Recall@5 | Recall@10 |
+| Model               | Accuracy |
 
-|:-------------------:|:------:|:------:|:-------:|:--------:|:--------:|:---------:|
+|:-------------------:|:------:|
+| Svalabs/gbert-large-zeroshot-nli     | 0.79 |
+| Sahajtomar/German_Zeroshot | 0.76 |
+| Symanto/xlm-roberta-base-snli-mnli-anli-xnli | 0.16 |
+| deepset/gbert-base | 0.65 |
 
-| BM25                | 0.1463 | 0.3451 | 0.4097  | 0.1463   | 0.5424   | 0.7415    |
-
-| BM25(Top 100) +Ours | 0.6410 | 0.7885 | 0.7943  | 0.6410   | 0.8576   | 0.9024    |
 
 ## Other Applications