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bart-base-squad-qg-no-answer

Text2Text Generation
Transformers
PyTorch
English
bart
question generation
Eval Results
Inference Endpoints
Model card Files Community
asahi417 commited on
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model update

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  1. README.md +6 -6
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: "<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-base-squad-no-answer
@@ -42,7 +42,7 @@ model-index:
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  value: 0.23715466422245665
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  - name: BERTScore
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  type: bertscore
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- value: 0.90378149447854
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  - name: MoverScore
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  type: moverscore
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  value: 0.6307014769529157
@@ -70,7 +70,7 @@ model_path = 'lmqg/bart-base-squad-no-answer'
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  pipe = pipeline("text2text-generation", model_path)
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  # Question Generation
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- input_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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  question = pipe(input_text)
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  ```
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@@ -81,7 +81,7 @@ 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 | 0.2196802868921128 | 0.49695872760015636 | 0.23715466422245665 | 0.90378149447854 | 0.6307014769529157 | [link](https://huggingface.co/lmqg/bart-base-squad-no-answer/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_squad.default.json) |
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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 further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl>"
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  example_title: "Question Generation Example 1"
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+ - text: "generate question: <hl> Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl>"
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  example_title: "Question Generation Example 2"
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+ - text: "generate question: <hl> Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, 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-base-squad-no-answer
 
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  value: 0.23715466422245665
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  - name: BERTScore
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  type: bertscore
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+ value: 0.9037814976684458
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  - name: MoverScore
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  type: moverscore
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  value: 0.6307014769529157
 
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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 further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl>'
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  question = pipe(input_text)
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  ```
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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 | 0.2196802868921128 | 0.49695872760015636 | 0.23715466422245665 | 0.9037814976684458 | 0.6307014769529157 | [link](https://huggingface.co/lmqg/bart-base-squad-no-answer/raw/main/eval/metric.first.sentence.paragraph_sentence.question.lmqg_qg_squad.default.json) |
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