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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_squad |
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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: "generate question: <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: "generate question: 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: "generate question: 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/t5-small-squad-no-paragraph |
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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_squad |
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type: default |
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args: default |
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metrics: |
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- name: BLEU4 |
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type: bleu4 |
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value: 0.23349926865772538 |
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- name: ROUGE-L |
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type: rouge-l |
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value: 0.5051176301939 |
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- name: METEOR |
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type: meteor |
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value: 0.2483120643455213 |
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- name: BERTScore |
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type: bertscore |
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value: 0.9034379432252281 |
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- name: MoverScore |
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type: moverscore |
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value: 0.6344747434744118 |
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--- |
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# Language Models Fine-tuning on Question Generation: `lmqg/t5-small-squad-no-paragraph` |
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This model is fine-tuned version of [t5-small](https://huggingface.co/t5-small) 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 fine-tuned without pargraph information but only the sentence that contains the answer. |
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### Overview |
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- **Language model:** [t5-small](https://huggingface.co/t5-small) |
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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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### Usage |
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```python |
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from transformers import pipeline |
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model_path = 'lmqg/t5-small-squad-no-paragraph' |
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pipe = pipeline("text2text-generation", model_path) |
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# Question Generation |
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input_text = 'generate question: <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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question = pipe(input_text) |
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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_squad](https://huggingface.co/datasets/lmqg/qg_squad) | default | 0.23349926865772538 | 0.5051176301939 | 0.2483120643455213 | 0.9034379432252281 | 0.6344747434744118 | [link](https://huggingface.co/lmqg/t5-small-squad-no-paragraph/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.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_squad |
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- dataset_name: default |
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- input_types: ['sentence_answer'] |
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- output_types: ['question'] |
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- prefix_types: ['qg'] |
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- model: t5-small |
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- max_length: 128 |
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- max_length_output: 32 |
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- epoch: 8 |
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- batch: 64 |
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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: 1 |
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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/t5-small-squad-no-paragraph/raw/main/trainer_config.json). |
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## Citation |
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TBA |
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