Update README.md

README.md

@@ -1,13 +1,16 @@
 ---
 library_name: transformers
-tags: []
+datasets:
+- ankitagr01/dynamic_topic_modeling_arxiv_abstracts
+metrics:
+- bleu
 ---
 
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-
+Topic modeling on abstracts of papers from the CShorten/ML-ArXiv-Papers dataset. Due to the lack of high-quality labeled data (and the idea of creating topics dynamically), we employ a knowledge distillation approach. A large teacher model (Llama-3-70B) generates labels for the dataset, and a smaller student model (Llama-3-8B) is fine-tuned on this data. The fine-tuned student model is then used for inference.
 
 ## Model Details
 
@@ -17,13 +20,13 @@ tags: []
 
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
-- **Developed by:** [More Information Needed]
+- **Developed by:** Ankit Agrawal (ankitagr.nitb[@]gmail.com)
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
 - **Model type:** [More Information Needed]
 - **Language(s) (NLP):** [More Information Needed]
 - **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Finetuned from model [optional]:** meta-llama/Meta-Llama-3-8B-Instruct
 
 ### Model Sources [optional]