Update README.md

README.md

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 # SentenceTransformer based on allenai/specter2_base
 
-This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [allenai/specter2_base](https://huggingface.co/allenai/specter2_base) on the json dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+This model is an initial proof of concept for (yet unpublished) article on ultra-hard negative triplet generation. While the original Specter2 adapters were trained on 600k triplets, only 10k ultra-hard negatives were enough to outperform the Proximity adapter.
+
 
 ## Model Details
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [allenai/specter2_base](https://huggingface.co/allenai/specter2_base) on the json dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 
 ### Model Description
 - **Model Type:** Sentence Transformer