Update README.md

README.md

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 ---
 license: apache-2.0
+language:
+- eu
 ---
+
+
+# Model Card for xlm-roberta-large-lemma-eu
+
+This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) for the contextual lemmatization task.  
+The datasets used for training are extracted from the data of the [SIGMORPHON 2019 Shared Task](https://aclanthology.org/W19-4211/).  
+The model for the Basque language was trained using [BDT corpus]().
+
+
+# Training Hyperparameters
+
+SEED:  
+EPOCHS:  
+BATCH SIZE: 
+GRADIENT ACCUMULATION STEPS:  
+LEARNING RATE: 
+WARMUP: 
+WEIGHT DECAY:
+
+# Results
+
+
+
+
+For more details you can see the paper and the repository:
+  - 📖 Paper: [On the Role of Morphological Information for Contextual Lemmatization](https://direct.mit.edu/coli/article/50/1/157/118134/On-the-Role-of-Morphological-Information-for)
+  - 🌐 Repository: [Datasets and training files](https://github.com/hitz-zentroa/ses-lemma)
+
+
+**Contact**: [Olia Toporkov](https://www.ixa.eus/node/13292) and [Rodrigo Agerri](https://ragerri.github.io/) HiTZ Center - Ixa, University of the Basque Country UPV/EHU  
+**Funding**:   
+**Model type**: xlm-roberta-large     
+**Language(s) (NLP)**: Basque 
+**License**: apache-2.0
+
+
+
+
+
+# Citation
+
+```bibtext
+@article{10.1162/coli_a_00497,
+    author = {Toporkov, Olia and Agerri, Rodrigo},
+    title = "{On the Role of Morphological Information for Contextual
+                    Lemmatization}",
+    journal = {Computational Linguistics},
+    volume = {50},
+    number = {1},
+    pages = {157-191},
+    year = {2024},
+    month = {03},
+    issn = {0891-2017},
+    doi = {10.1162/coli_a_00497},
+    url = {https://doi.org/10.1162/coli\_a\_00497},
+    eprint = {https://direct.mit.edu/coli/article-pdf/50/1/157/2367156/coli\_a\_00497.pdf},
+}
+
+```