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lmqg
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mt5-small-esquad-qg-ae

Text2Text Generation
Transformers
PyTorch
Spanish
mt5
question generation
answer extraction
Eval Results
Inference Endpoints
Model card Files Community
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asahi417 commited on
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1 Parent(s): 7d194ad

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: 0.583354319136371
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  - name: QAAlignedF1Score (BERTScore)
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  type: qa_aligned_f1_score_bertscore
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- value: 0.7976244826809225
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  - name: QAAlignedRecall (BERTScore)
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  type: qa_aligned_recall_bertscore
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- value: 0.8283516288158354
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  - name: QAAlignedPrecision (BERTScore)
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  type: qa_aligned_precision_bertscore
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- value: 0.7698376081023459
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  - name: QAAlignedF1Score (MoverScore)
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  type: qa_aligned_f1_score_moverscore
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- value: 0.5475287774297867
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  - name: QAAlignedRecall (MoverScore)
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  type: qa_aligned_recall_moverscore
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- value: 0.566482778435979
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  - name: QAAlignedPrecision (MoverScore)
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  type: qa_aligned_precision_moverscore
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- value: 0.530702900692294
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  ---
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  # Model Card of `lmqg/mt5-small-esquad-multitask`
@@ -141,7 +141,7 @@ question = pipe('generate question: del <hl> Ministerio de Desarrollo Urbano <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_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) | default | 0.798 | 0.548 | [link](https://huggingface.co/lmqg/mt5-small-esquad-multitask/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_esquad.default.json) |
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  value: 0.583354319136371
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  - name: QAAlignedF1Score (BERTScore)
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  type: qa_aligned_f1_score_bertscore
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+ value: 0.7905906899103425
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  - name: QAAlignedRecall (BERTScore)
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  type: qa_aligned_recall_bertscore
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+ value: 0.8193740462603651
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  - name: QAAlignedPrecision (BERTScore)
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  type: qa_aligned_precision_bertscore
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+ value: 0.7645582065809101
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  - name: QAAlignedF1Score (MoverScore)
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  type: qa_aligned_f1_score_moverscore
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+ value: 0.5449111789219835
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  - name: QAAlignedRecall (MoverScore)
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  type: qa_aligned_recall_moverscore
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+ value: 0.562123937377997
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  - name: QAAlignedPrecision (MoverScore)
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  type: qa_aligned_precision_moverscore
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+ value: 0.5295862912867637
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  ---
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  # Model Card of `lmqg/mt5-small-esquad-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_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) | default | 0.791 | 0.545 | [link](https://huggingface.co/lmqg/mt5-small-esquad-multitask/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_esquad.default.json) |
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