Update README.md

README.md

@@ -1,3 +1,53 @@
----
-license: mit
----
+---
+license: mit
+language:
+- as
+base_model:
+- google/muril-large-cased
+pipeline_tag: token-classification
+tags:
+- NER
+- Named_Entity_Recognition
+pretty_name: APTFiNER Tamil XLM-RoBERTa
+datasets:
+- prachuryyaIITG/CLASSER
+metrics:
+- f1
+---
+
+**MuRIL is fine-tuned on Assamese CLASSER dataset XLM-RoBERTa model for Fine-grained Named Entity Recognition.**
+
+## Model performance:
+Precision: 74.88 <br>
+Recall: 75.62 <br>
+**F1: 75.25** <br>
+
+## Training Parameters:
+Epochs: 6 <br>
+Optimizer: AdamW <br>
+Learning Rate: 5e-5 <br>
+Weight Decay: 0.01 <br>
+Batch Size: 64 <br>
+
+
+## Citation
+
+If you use this model, please cite the following papers:
+
+```bibtex
+@inproceedings{kaushik2025classer,
+  title     = {{CLASSER}: Cross-lingual Annotation Projection enhancement through Script Similarity for Fine-grained Named Entity Recognition},
+  author    = {Kaushik, Prachuryya and Anand, Ashish},
+  booktitle = {Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics},
+  year      = {2025},
+  publisher = {Association for Computational Linguistics},
+  note      = {Main conference paper}
+}
+
+@inproceedings{kaushik2026sampurner,
+  title={SampurNER: Fine-grained Named Entity Recognition Dataset for 22 Indian Languages},
+  author={Kaushik, Prachuryya and Anand, Ashish},
+  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
+  volume={40},
+  year={2026}
+}