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--- |
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license: cc-by-4.0 |
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metrics: |
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- bleu4 |
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- meteor |
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- rouge-l |
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- bertscore |
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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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widget: |
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- text: "<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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example_title: "Question Generation Example 1" |
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- text: "Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records." |
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example_title: "Question Generation Example 2" |
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- text: "Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, <hl> Cadillac Records <hl> ." |
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example_title: "Question Generation Example 3" |
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model-index: |
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- name: lmqg/bart-large-subjqa-movies |
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results: |
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- task: |
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name: Text2text Generation |
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type: text2text-generation |
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dataset: |
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name: lmqg/qg_subjqa |
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type: movies |
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args: movies |
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metrics: |
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- name: BLEU4 |
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type: bleu4 |
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value: 0.04213811599760002 |
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- name: ROUGE-L |
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type: rouge-l |
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value: 0.2592040186771708 |
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- name: METEOR |
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type: meteor |
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value: 0.21637464104334672 |
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- name: BERTScore |
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type: bertscore |
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value: 0.9322845239143867 |
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- name: MoverScore |
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type: moverscore |
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value: 0.6240379346458808 |
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--- |
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# Language Models Fine-tuning on Question Generation: `lmqg/bart-large-subjqa-movies` |
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This model is fine-tuned version of [lmqg/bart-large-squad](https://huggingface.co/lmqg/bart-large-squad) for question generation task on the |
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[lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) (dataset_name: movies). |
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This model is continuously fine-tuned with [lmqg/bart-large-squad](https://huggingface.co/lmqg/bart-large-squad). |
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### Overview |
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- **Language model:** [lmqg/bart-large-squad](https://huggingface.co/lmqg/bart-large-squad) |
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- **Language:** en |
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- **Training data:** [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) (movies) |
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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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### Usage |
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```python |
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from transformers import pipeline |
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model_path = 'lmqg/bart-large-subjqa-movies' |
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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 |
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### Metrics |
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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) | movies | 0.042 | 0.259 | 0.216 | 0.932 | 0.624 | [link](https://huggingface.co/lmqg/bart-large-subjqa-movies/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.movies.json) | |
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## Training hyperparameters |
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The following hyperparameters were used during fine-tuning: |
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- dataset_path: lmqg/qg_subjqa |
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- dataset_name: movies |
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- input_types: ['paragraph_answer'] |
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- output_types: ['question'] |
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- prefix_types: None |
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- model: lmqg/bart-large-squad |
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- max_length: 512 |
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- max_length_output: 32 |
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- epoch: 3 |
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- batch: 8 |
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- lr: 0.0001 |
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- fp16: False |
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- random_seed: 1 |
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- gradient_accumulation_steps: 16 |
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- label_smoothing: 0.15 |
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The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/bart-large-subjqa-movies/raw/main/trainer_config.json). |
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## Citation |
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TBA |
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