Update README.md

README.md

@@ -8,6 +8,12 @@ tags:
 
 ---
 
+This model utilizes a newer version of Sentence Transformers. If you're having trouble using this model, please try installing the latest version of Sentence Transformers with:
+
+```bash
+pip install --upgrade --force-reinstall --no-deps git+https://github.com/UKPLab/sentence-transformers.git
+```
+
 # carles-undergrad-thesis/st-indobert-mmarco-v1
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
@@ -72,9 +78,13 @@ print(sentence_embeddings)
 
 ## Evaluation Results
 
-<!--- Describe how your model was evaluated -->
 
-For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name=carles-undergrad-thesis/st-indobert-mmarco-v1)
+| Model                                   | Mmarco Dev |                | MrTyDi Test |                | Miracal Test |                            |
+|-----------------------------------------|------------|----------------|-------------|----------------|--------------|----------------------------|
+|                                         | MRR@10     | R@1000         | MRR@10      | R@1000         | NCDG@10      | R@1K                       | 
+| $\text{BM25 (Elastic Search)}$          | .114       | .642           | .279        | .858           | .391         | .971                       |
+| $\text{IndoBERT}_{\text{DOT}}$          | .192       | .847           | .378        | .936           | .355         | .920                       |
+
 
 
 ## Training