Update README.md

README.md

@@ -36,14 +36,34 @@ For this purpose, we translated the sentence pairs in these dataset to German.
 ### Model Details
 
 | | Description or Link  |
-
 |---|---|
+|**Base model**   | [```gbert-large```](https://huggingface.co/deepset/gbert-large) |
+|**Finetuning task**| Text Pair Classification / Natural Language Inference  |
+|**Source dataset**| [```mnli```](https://huggingface.co/datasets/multi_nli) ; [```anli```](https://huggingface.co/datasets/anli) ; [```snli```](https://huggingface.co/datasets/snli)   |
 
-|**Base model**   | [```gbert-large```](https://huggingface.co/deepset/gbert-large)  |
+### Performance
 
-|**Finetuning task**| Text Pair Classification / Natural Language Inference  |
+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% 
+
+
+## Zeroshot Text Classification Task Benchmark 
+
+We further tested our model for a zeroshot text classification task using a part of the [10kGNAD Dataset](https://tblock.github.io/10kGNAD/).
+Specifically, we used all articles that were labeled "Kultur", "Sport", "Web", "Wirtschaft" und "Wissenschaft". 
+
+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 |
+
+|:-------------------:|:------:|:------:|:-------:|:--------:|:--------:|:---------:|
+
+| 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    |
 
-|**Source dataset**| [```mnli```](https://huggingface.co/datasets/multi_nli) ; [```anli```](https://huggingface.co/datasets/anli) ; [```snli```](https://huggingface.co/datasets/snli)  |
+## Other Applications