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bart-base-subjqa-electronics-qg

Text Generation
Transformers
PyTorch
English
bart
text2text-generation
question generation
Eval Results (legacy)
Model card Files
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asahi417 commited on
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model update

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  1. README.md +4 -4
README.md CHANGED
@@ -9,7 +9,7 @@ metrics:
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  - moverscore
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  language: en
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  datasets:
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- - lmqg/qg_squad
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  pipeline_tag: text2text-generation
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  tags:
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  - question generation
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  # Language Models Fine-tuning on Question Generation: `lmqg/bart-base-subjqa-electronics`
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  This model is fine-tuned version of [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad) 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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  This model is continuously fine-tuned with [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad).
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  ### Overview
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  - **Language model:** [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad)
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  - **Language:** en
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- - **Training data:** [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (default)
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  - **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
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  - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
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  - **Paper:** [TBA](TBA)
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  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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- | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | electronics | 0.0383060279511115 | 0.29410386622800005 | 0.25084383352556755 | 0.9375676617902868 | 0.6600122624051745 | [link](https://huggingface.co/lmqg/bart-base-subjqa-electronics/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json) |
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  - moverscore
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  language: en
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  datasets:
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+ - lmqg/qg_subjqa
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  pipeline_tag: text2text-generation
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  tags:
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  - question generation
 
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  # Language Models Fine-tuning on Question Generation: `lmqg/bart-base-subjqa-electronics`
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  This model is fine-tuned version of [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad) for question generation task on the
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+ [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) (dataset_name: electronics).
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  This model is continuously fine-tuned with [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad).
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  ### Overview
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  - **Language model:** [lmqg/bart-base-squad](https://huggingface.co/lmqg/bart-base-squad)
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  - **Language:** en
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+ - **Training data:** [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) (electronics)
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  - **Online Demo:** [https://autoqg.net/](https://autoqg.net/)
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  - **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
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  - **Paper:** [TBA](TBA)
 
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  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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+ | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | electronics | 0.0383060279511115 | 0.29410386622800005 | 0.25084383352556755 | 0.9375676617902868 | 0.6600122624051745 | [link](https://huggingface.co/lmqg/bart-base-subjqa-electronics/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.electronics.json) |
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