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model update

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@@ -278,11 +278,29 @@ model-index:
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  value: 0.6086538514008419
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  ---
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- # Language Models Fine-tuning on Question Generation: `lmqg/bart-large-squad`
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  This model is fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) for question generation task on the
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- [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (dataset_name: default).
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  ### Overview
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  - **Language model:** [facebook/bart-large](https://huggingface.co/facebook/bart-large)
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  - **Language:** en
@@ -301,6 +319,7 @@ pipe = pipeline("text2text-generation", model_path)
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  # Question Generation
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  question = pipe('<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.')
 
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  ```
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  ## Evaluation Metrics
@@ -352,4 +371,16 @@ The following hyperparameters were used during fine-tuning:
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  The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/bart-large-squad/raw/main/trainer_config.json).
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  ## Citation
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- TBA
 
 
 
 
 
 
 
 
 
 
 
 
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  value: 0.6086538514008419
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  ---
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+ # Model Card of `lmqg/bart-large-squad`
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  This model is fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) for question generation task on the
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+ [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (dataset_name: default) via [`lmqg`](https://github.com/asahi417/lm-question-generation).
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+ Please cite our paper if you use the model ([TBA](TBA)).
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+
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+ ```
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+
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+ @inproceedings{ushio-etal-2022-generative,
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+ title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration: {A} {U}nified {B}enchmark and {E}valuation",
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+ author = "Ushio, Asahi and
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+ Alva-Manchego, Fernando and
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+ Camacho-Collados, Jose",
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+ booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
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+ month = dec,
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+ year = "2022",
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+ address = "Abu Dhabi, U.A.E.",
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+ publisher = "Association for Computational Linguistics",
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+ }
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+
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+ ```
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+
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  ### Overview
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  - **Language model:** [facebook/bart-large](https://huggingface.co/facebook/bart-large)
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  - **Language:** en
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  # Question Generation
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  question = pipe('<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.')
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+
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  ```
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  ## Evaluation Metrics
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  The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/bart-large-squad/raw/main/trainer_config.json).
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  ## Citation
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+
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+ @inproceedings{ushio-etal-2022-generative,
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+ title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration: {A} {U}nified {B}enchmark and {E}valuation",
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+ author = "Ushio, Asahi and
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+ Alva-Manchego, Fernando and
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+ Camacho-Collados, Jose",
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+ booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
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+ month = dec,
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+ year = "2022",
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+ address = "Abu Dhabi, U.A.E.",
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+ publisher = "Association for Computational Linguistics",
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+ }
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+