Update README.md

README.md

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 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.
 
-This model can be used to identify sentences that contain similar migration-related demands and propositions.
+This model may be used to estimate the similarities between sentences containing migration-related demands and propositions.
+
+# Fine-Tuned on `all-MiniLM-L6-v2` Model
+
+This repository contains a fine-tuned version of the `all-MiniLM-L6-v2` model. The original model was created by Nils Reimers and Iryna Gurevych and is available on Hugging Face.
+
 
 ## Usage (Sentence-Transformers)
 
@@ -145,5 +150,16 @@ SentenceTransformer(
   year = 2020
 }
 
+## Acknowledgments
+
+This model is based on the `all-MiniLM-L6-v2` model:
+- Reimers, N., & Gurevych, I. (2020). Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. https://arxiv.org/abs/2004.09813
+- Original model URL: https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2
+- License: Apache 2.0
+
+## License
+
+This fine-tuned model is released under the MIT License. See the LICENSE file for more details.
+
 
 ```