model update

README.md

@@ -48,11 +48,29 @@ model-index:
       value: 0.5987761972106114
 ---
 
-# Language Models Fine-tuning on Question Generation: `lmqg/mbart-large-cc25-jaquad`
+# Model Card of `lmqg/mbart-large-cc25-jaquad`
 This model is fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) for question generation task on the 
-[lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) (dataset_name: default).
+[lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) (dataset_name: default) via [`lmqg`](https://github.com/asahi417/lm-question-generation).
 
 
+Please cite our paper if you use the model ([TBA](TBA)).
+
+```
+
+@inproceedings{ushio-etal-2022-generative,
+    title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration: {A} {U}nified {B}enchmark and {E}valuation",
+    author = "Ushio, Asahi  and
+        Alva-Manchego, Fernando and
+        Camacho-Collados, Jose",
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, U.A.E.",
+    publisher = "Association for Computational Linguistics",
+}
+
+```
+
 ### Overview
 - **Language model:** [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25)   
 - **Language:** ja  
@@ -71,6 +89,7 @@ pipe = pipeline("text2text-generation", model_path)
 
 # Question Generation
 question = pipe('ゾフィーは貴族出身ではあったが王族出身ではなく、ハプスブルク家の皇位継承者であるフランツ・フェルディナントとの結婚は貴賤結婚となった。皇帝フランツ・ヨーゼフは、2人の間に生まれた子孫が皇位を継がないことを条件として結婚を承認していた。視察が予定されている<hl>6月28日<hl>は2人の14回目の結婚記念日であった。')
+
 ```
 
 ## Evaluation Metrics
@@ -107,4 +126,16 @@ The following hyperparameters were used during fine-tuning:
 The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/mbart-large-cc25-jaquad/raw/main/trainer_config.json).
 
 ## Citation
-TBA
+
+@inproceedings{ushio-etal-2022-generative,
+    title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration: {A} {U}nified {B}enchmark and {E}valuation",
+    author = "Ushio, Asahi  and
+        Alva-Manchego, Fernando and
+        Camacho-Collados, Jose",
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, U.A.E.",
+    publisher = "Association for Computational Linguistics",
+}
+