Update README.md

README.md

@@ -3,9 +3,14 @@ license: mit
 base_model: microsoft/deberta-v3-base
 tags:
 - generated_from_trainer
+- calibration
+- uncertainty
 model-index:
 - name: apricot_clustering_trivia_qa_deberta-v3-base_for_gpt-3.5-turbo-0125
   results: []
+datasets:
+- mandarjoshi/trivia_qa
+library_name: transformers
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # apricot_clustering_trivia_qa_deberta-v3-base_for_gpt-3.5-turbo-0125
 
-This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the trivia_qa dataset.
+This model is fine-tuned for black-box LLM calibration as part of the 🍑 Apricot paper ["Calibrating Large Language Models Using Their Generations Only"](https://arxiv.org/abs/2403.05973) (ACL 2024).
 
 ## Model description
 
-More information needed
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) to predict the calibration score for the gpt-3.5-turbo-0125 model on the questions from the trivia_qa dataset. It uses the clustering type of calibration target score.
 
 ## Intended uses & limitations