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lmqg
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mt5-small-koquad-qg-ae

Text2Text Generation
Transformers
PyTorch
Korean
mt5
question generation
answer extraction
Eval Results
Inference Endpoints
Model card Files Community
1
asahi417 commited on
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21527fb
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1 Parent(s): 77db1ae

model update

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  1. README.md +7 -7
README.md CHANGED
@@ -53,22 +53,22 @@ model-index:
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  value: 0.8253569952436216
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  - name: QAAlignedF1Score (BERTScore)
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  type: qa_aligned_f1_score_bertscore
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- value: 0.8036359622784699
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  - name: QAAlignedRecall (BERTScore)
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  type: qa_aligned_recall_bertscore
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- value: 0.8416602284633128
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  - name: QAAlignedPrecision (BERTScore)
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  type: qa_aligned_precision_bertscore
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- value: 0.7696767773358539
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  - name: QAAlignedF1Score (MoverScore)
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  type: qa_aligned_f1_score_moverscore
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- value: 0.828328285158697
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  - name: QAAlignedRecall (MoverScore)
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  type: qa_aligned_recall_moverscore
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- value: 0.8755234297000531
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  - name: QAAlignedPrecision (MoverScore)
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  type: qa_aligned_precision_moverscore
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- value: 0.787394758873296
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  ---
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  # Model Card of `lmqg/mt5-small-koquad-multitask`
@@ -141,7 +141,7 @@ question = pipe('generate question: 1990년 영화 《 <hl> 남부군 <hl> 》
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  | Dataset | Type | QA Aligned F1 Score (BERTScore) | QA Aligned F1 Score (MoverScore) | Link |
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  |:--------|:-----|--------------------------------:|---------------------------------:|-----:|
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- | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) | default | 0.804 | 0.828 | [link](https://huggingface.co/lmqg/mt5-small-koquad-multitask/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.json) |
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  value: 0.8253569952436216
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  - name: QAAlignedF1Score (BERTScore)
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  type: qa_aligned_f1_score_bertscore
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+ value: 0.803637745157127
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  - name: QAAlignedRecall (BERTScore)
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  type: qa_aligned_recall_bertscore
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+ value: 0.8372135478464777
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  - name: QAAlignedPrecision (BERTScore)
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  type: qa_aligned_precision_bertscore
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+ value: 0.7734194841249756
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  - name: QAAlignedF1Score (MoverScore)
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  type: qa_aligned_f1_score_moverscore
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+ value: 0.8254996927301479
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  - name: QAAlignedRecall (MoverScore)
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  type: qa_aligned_recall_moverscore
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+ value: 0.8668749372525869
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  - name: QAAlignedPrecision (MoverScore)
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  type: qa_aligned_precision_moverscore
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+ value: 0.7892838716044577
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  ---
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  # Model Card of `lmqg/mt5-small-koquad-multitask`
 
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  | Dataset | Type | QA Aligned F1 Score (BERTScore) | QA Aligned F1 Score (MoverScore) | Link |
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  |:--------|:-----|--------------------------------:|---------------------------------:|-----:|
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+ | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) | default | 0.804 | 0.825 | [link](https://huggingface.co/lmqg/mt5-small-koquad-multitask/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.json) |
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