|
|
|
--- |
|
license: cc-by-4.0 |
|
metrics: |
|
- bleu4 |
|
- meteor |
|
- rouge-l |
|
- bertscore |
|
- moverscore |
|
language: en |
|
datasets: |
|
- lmqg/qg_squad |
|
pipeline_tag: text2text-generation |
|
tags: |
|
- question generation |
|
widget: |
|
- text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records." |
|
example_title: "Question Generation Example 1" |
|
- text: "generate question: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records." |
|
example_title: "Question Generation Example 2" |
|
- text: "generate question: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, <hl> Cadillac Records <hl> ." |
|
example_title: "Question Generation Example 3" |
|
model-index: |
|
- name: lmqg/bart-large-squad |
|
results: |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_squad |
|
type: default |
|
args: default |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 0.26168385362299557 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.5384959163821219 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.27073122286541956 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.9100413219045603 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.6499011626820898 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_squadshifts |
|
type: reddit |
|
args: reddit |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 0.059525104157825456 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.22365090580055863 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.21499800504546457 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.9095144685254328 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.6059332247878408 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_squadshifts |
|
type: new_wiki |
|
args: new_wiki |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 0.11118273173452982 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.2967546690273089 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.27315087810722966 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.9322739617807421 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.6623000084761579 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_subjqa |
|
type: tripadvisor |
|
args: tripadvisor |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 8.380171318718442e-07 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.1402922852924756 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.1372146070365174 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.8891002409937424 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.5604572211470809 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_squadshifts |
|
type: default |
|
args: default |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 0.07839941048417529 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.25357667226247294 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.24046838149047955 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.9182198703598111 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.6274693859765924 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_squadshifts |
|
type: nyt |
|
args: nyt |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 0.08117757543966063 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.25292097720734297 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.25254205113198686 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.9249009759439454 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.6406329128556304 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_subjqa |
|
type: restaurants |
|
args: restaurants |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 1.1301750984972448e-06 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.13083168975354642 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.12419733006916912 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.8797711839570719 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.5542757411268555 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_subjqa |
|
type: electronics |
|
args: electronics |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 0.00866799444965211 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.1601628874804186 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.15348605312210778 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.8783386920680519 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.5634845371093992 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_subjqa |
|
type: books |
|
args: books |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 0.006278914808207679 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.12368226019088967 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.11576293675813865 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.8807110440044503 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.5555905941686486 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_subjqa |
|
type: movies |
|
args: movies |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 1.0121579426501661e-06 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.12508697028506718 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.11862284941640638 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.8748829724726739 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.5528899173535703 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_subjqa |
|
type: grocery |
|
args: grocery |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 0.00528043272450429 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.12343711316491492 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.15133496445452477 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.8778951253890991 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.5701949938103265 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_squadshifts |
|
type: amazon |
|
args: amazon |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 0.06530369842068952 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.25030985091008146 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.2229994442645732 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.9092814804525936 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.6086538514008419 |
|
- task: |
|
name: Text2text Generation |
|
type: text2text-generation |
|
dataset: |
|
name: lmqg/qg_subjqa |
|
type: default |
|
args: default |
|
metrics: |
|
- name: BLEU4 |
|
type: bleu4 |
|
value: 0.005121882223046874 |
|
- name: ROUGE-L |
|
type: rouge-l |
|
value: 0.1346485324169255 |
|
- name: METEOR |
|
type: meteor |
|
value: 0.13733272662214893 |
|
- name: BERTScore |
|
type: bertscore |
|
value: 0.8811488576438816 |
|
- name: MoverScore |
|
type: moverscore |
|
value: 0.5614233235005509 |
|
--- |
|
|
|
# Language Models Fine-tuning on Question Generation: `lmqg/bart-large-squad` |
|
This model is fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) for question generation task on the |
|
[lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (dataset_name: default). |
|
|
|
|
|
### Overview |
|
- **Language model:** [facebook/bart-large](https://huggingface.co/facebook/bart-large) |
|
- **Language:** en |
|
- **Training data:** [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) (default) |
|
- **Online Demo:** [https://autoqg.net/](https://autoqg.net/) |
|
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation) |
|
- **Paper:** [TBA](TBA) |
|
|
|
### Usage |
|
```python |
|
|
|
from transformers import pipeline |
|
|
|
model_path = 'lmqg/bart-large-squad' |
|
pipe = pipeline("text2text-generation", model_path) |
|
|
|
# Question Generation |
|
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.' |
|
question = pipe(input_text) |
|
``` |
|
|
|
## Evaluation Metrics |
|
|
|
|
|
### Metrics |
|
|
|
| Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link | |
|
|:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:| |
|
| [lmqg/qg_squad](https://huggingface.co/datasets/lmqg/qg_squad) | default | 0.26168385362299557 | 0.5384959163821219 | 0.27073122286541956 | 0.9100413219045603 | 0.6499011626820898 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json) | |
|
|
|
|
|
|
|
### Out-of-domain Metrics |
|
|
|
| Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link | |
|
|:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:| |
|
| [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) | reddit | 0.059525104157825456 | 0.22365090580055863 | 0.21499800504546457 | 0.9095144685254328 | 0.6059332247878408 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squadshifts.reddit.json) | |
|
| [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) | new_wiki | 0.11118273173452982 | 0.2967546690273089 | 0.27315087810722966 | 0.9322739617807421 | 0.6623000084761579 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squadshifts.new_wiki.json) | |
|
| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | tripadvisor | 8.380171318718442e-07 | 0.1402922852924756 | 0.1372146070365174 | 0.8891002409937424 | 0.5604572211470809 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.tripadvisor.json) | |
|
| [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) | default | 0.07839941048417529 | 0.25357667226247294 | 0.24046838149047955 | 0.9182198703598111 | 0.6274693859765924 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squadshifts.default.json) | |
|
| [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) | nyt | 0.08117757543966063 | 0.25292097720734297 | 0.25254205113198686 | 0.9249009759439454 | 0.6406329128556304 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squadshifts.nyt.json) | |
|
| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | restaurants | 1.1301750984972448e-06 | 0.13083168975354642 | 0.12419733006916912 | 0.8797711839570719 | 0.5542757411268555 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json) | |
|
| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | electronics | 0.00866799444965211 | 0.1601628874804186 | 0.15348605312210778 | 0.8783386920680519 | 0.5634845371093992 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.electronics.json) | |
|
| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | books | 0.006278914808207679 | 0.12368226019088967 | 0.11576293675813865 | 0.8807110440044503 | 0.5555905941686486 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.books.json) | |
|
| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | movies | 1.0121579426501661e-06 | 0.12508697028506718 | 0.11862284941640638 | 0.8748829724726739 | 0.5528899173535703 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.movies.json) | |
|
| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | grocery | 0.00528043272450429 | 0.12343711316491492 | 0.15133496445452477 | 0.8778951253890991 | 0.5701949938103265 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.grocery.json) | |
|
| [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) | amazon | 0.06530369842068952 | 0.25030985091008146 | 0.2229994442645732 | 0.9092814804525936 | 0.6086538514008419 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squadshifts.amazon.json) | |
|
| [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | default | 0.005121882223046874 | 0.1346485324169255 | 0.13733272662214893 | 0.8811488576438816 | 0.5614233235005509 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.default.json) | |
|
|
|
|
|
## Training hyperparameters |
|
|
|
The following hyperparameters were used during fine-tuning: |
|
- dataset_path: lmqg/qg_squad |
|
- dataset_name: default |
|
- input_types: ['paragraph_answer'] |
|
- output_types: ['question'] |
|
- prefix_types: None |
|
- model: facebook/bart-large |
|
- max_length: 512 |
|
- max_length_output: 32 |
|
- epoch: 4 |
|
- batch: 32 |
|
- lr: 5e-05 |
|
- fp16: False |
|
- random_seed: 1 |
|
- gradient_accumulation_steps: 4 |
|
- label_smoothing: 0.15 |
|
|
|
The full configuration can be found at [fine-tuning config file](https://huggingface.co/lmqg/bart-large-squad/raw/main/trainer_config.json). |
|
|
|
## Citation |
|
TBA |
|
|
