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README.md

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 # {MODEL_NAME}
 
-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 is a [sentence-transformers](https://www.SBERT.net) model fine-tuned on the Belief Triplet Dataset. It maps sentences and paragraphs into a 768-dimensional dense vector space, making it suitable for tasks such as clustering and semantic search.
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+The base model, [roberta-base-nli-stsb-mean-tokens](sentence-transformers/roberta-base-nli-stsb-mean-tokens) , was fine-tuned using belief triplets extracted from the Debate.org dataset. This fine-tuning enhances the model’s ability to capture contextual relationships between various beliefs.
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+For more details, refer to our paper:
+"Neural Embedding of Beliefs Reveals the Role of Relative Dissonance in Human Decision-Making" (arXiv:2408.07237). 
 
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