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bart-large-squad-qg

Text2Text Generation
Transformers
PyTorch
English
bart
question generation
Eval Results
Inference Endpoints
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model update

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  1. README.md +15 -64
README.md CHANGED
@@ -14,11 +14,11 @@ 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/bart-large-squad
@@ -115,29 +115,6 @@ model-index:
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  - name: MoverScore
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  type: moverscore
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  value: 0.5604572211470809
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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_squadshifts
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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: 0.07839941048417529
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- - name: ROUGE-L
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- type: rouge-l
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- value: 0.25357667226247294
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- - name: METEOR
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- type: meteor
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- value: 0.24046838149047955
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- - name: BERTScore
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- type: bertscore
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- value: 0.9182198703598111
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- - name: MoverScore
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- type: moverscore
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- value: 0.6274693859765924
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  - task:
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  name: Text2text Generation
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  type: text2text-generation
@@ -299,29 +276,6 @@ model-index:
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  - name: MoverScore
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  type: moverscore
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  value: 0.6086538514008419
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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: 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: 0.005121882223046874
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- - name: ROUGE-L
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- type: rouge-l
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- value: 0.1346485324169255
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- - name: METEOR
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- type: meteor
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- value: 0.13733272662214893
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- - name: BERTScore
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- type: bertscore
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- value: 0.8811488576438816
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- - name: MoverScore
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- type: moverscore
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- value: 0.5614233235005509
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  ---
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  # Language Models Fine-tuning on Question Generation: `lmqg/bart-large-squad`
@@ -346,8 +300,7 @@ model_path = 'lmqg/bart-large-squad'
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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
@@ -357,7 +310,7 @@ question = pipe(input_text)
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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 | 0.26168385362299557 | 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) |
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@@ -365,18 +318,16 @@ question = pipe(input_text)
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  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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- | [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) |
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- | [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) |
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- | [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) |
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- | [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) |
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- | [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) |
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- | [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) |
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- | [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) |
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- | [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) |
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- | [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) |
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- | [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) |
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- | [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) |
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- | [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) |
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  ## Training hyperparameters
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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-squad
115
  - name: MoverScore
116
  type: moverscore
117
  value: 0.5604572211470809
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
118
  - task:
119
  name: Text2text Generation
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  type: text2text-generation
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  - name: MoverScore
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  type: moverscore
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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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  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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  | 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 | 0.262 | 0.538 | 0.271 | 0.91 | 0.65 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json) |
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  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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+ | [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) | reddit | 0.06 | 0.224 | 0.215 | 0.91 | 0.606 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squadshifts.reddit.json) |
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+ | [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) | new_wiki | 0.111 | 0.297 | 0.273 | 0.932 | 0.662 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squadshifts.new_wiki.json) |
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+ | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | tripadvisor | 0.0 | 0.14 | 0.137 | 0.889 | 0.56 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.tripadvisor.json) |
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+ | [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) | nyt | 0.081 | 0.253 | 0.253 | 0.925 | 0.641 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squadshifts.nyt.json) |
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+ | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | restaurants | 0.0 | 0.131 | 0.124 | 0.88 | 0.554 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.restaurants.json) |
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+ | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | electronics | 0.009 | 0.16 | 0.153 | 0.878 | 0.563 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.electronics.json) |
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+ | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | books | 0.006 | 0.124 | 0.116 | 0.881 | 0.556 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.books.json) |
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+ | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | movies | 0.0 | 0.125 | 0.119 | 0.875 | 0.553 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.movies.json) |
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+ | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | grocery | 0.005 | 0.123 | 0.151 | 0.878 | 0.57 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.grocery.json) |
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+ | [lmqg/qg_squadshifts](https://huggingface.co/datasets/lmqg/qg_squadshifts) | amazon | 0.065 | 0.25 | 0.223 | 0.909 | 0.609 | [link](https://huggingface.co/lmqg/bart-large-squad/raw/main/eval_ood/metric.first.sentence.paragraph_answer.question.lmqg_qg_squadshifts.amazon.json) |
 
 
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  ## Training hyperparameters