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mbart-large-cc25-jaquad-qg

Text2Text Generation Transformers PyTorch
Japanese mbart question generation Eval Results Inference Endpoints
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model update

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  1. README.md +0 -46
README.md CHANGED
@@ -46,21 +46,6 @@ model-index:
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  - name: MoverScore (Question Generation)
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  type: moverscore_question_generation
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  value: 59.88
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- - name: BLEU4 (Question & Answer Generation (with Gold Answer))
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- type: bleu4_question_answer_generation_with_gold_answer
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- value: 0.0
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- - name: ROUGE-L (Question & Answer Generation (with Gold Answer))
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- type: rouge_l_question_answer_generation_with_gold_answer
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- value: 2.33
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- - name: METEOR (Question & Answer Generation (with Gold Answer))
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- type: meteor_question_answer_generation_with_gold_answer
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- value: 37.9
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- - name: BERTScore (Question & Answer Generation (with Gold Answer))
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- type: bertscore_question_answer_generation_with_gold_answer
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- value: 82.85
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- - name: MoverScore (Question & Answer Generation (with Gold Answer))
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- type: moverscore_question_answer_generation_with_gold_answer
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- value: 58.91
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  - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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  type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 87.16
@@ -79,21 +64,6 @@ model-index:
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  - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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  type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 63.1
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- - name: BLEU4 (Question & Answer Generation)
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- type: bleu4_question_answer_generation
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- value: 0.0
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- - name: ROUGE-L (Question & Answer Generation)
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- type: rouge_l_question_answer_generation
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- value: 0.67
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- - name: METEOR (Question & Answer Generation)
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- type: meteor_question_answer_generation
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- value: 24.87
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- - name: BERTScore (Question & Answer Generation)
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- type: bertscore_question_answer_generation
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- value: 65.68
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- - name: MoverScore (Question & Answer Generation)
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- type: moverscore_question_answer_generation
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- value: 51.34
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  - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
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  type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
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  value: 76.7
@@ -169,40 +139,24 @@ output = pipe("ゾフィーは貴族出身ではあったが王族出身では
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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- | BERTScore | 82.85 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | Bleu_1 | 1.2 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | Bleu_2 | 0.12 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | Bleu_3 | 0 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | Bleu_4 | 0 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | METEOR | 37.9 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | MoverScore | 58.91 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedF1Score (BERTScore) | 87.16 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedF1Score (MoverScore) | 63.08 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedPrecision (BERTScore) | 87.17 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedPrecision (MoverScore) | 63.1 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedRecall (BERTScore) | 87.16 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedRecall (MoverScore) | 63.06 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | ROUGE_L | 2.33 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mbart-large-cc25-jaquad-ae`](https://huggingface.co/lmqg/mbart-large-cc25-jaquad-ae). [raw metric file](https://huggingface.co/lmqg/mbart-large-cc25-jaquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_jaquad.default.lmqg_mbart-large-cc25-jaquad-ae.json)
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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- | BERTScore | 65.68 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | Bleu_1 | 0.34 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | Bleu_2 | 0.01 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | Bleu_3 | 0 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | Bleu_4 | 0 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | METEOR | 24.87 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | MoverScore | 51.34 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedF1Score (BERTScore) | 76.7 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedF1Score (MoverScore) | 53.64 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedPrecision (BERTScore) | 74.75 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedPrecision (MoverScore) | 52.32 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedRecall (BERTScore) | 78.87 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedRecall (MoverScore) | 55.14 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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- | ROUGE_L | 0.67 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  - name: MoverScore (Question Generation)
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  type: moverscore_question_generation
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  value: 59.88
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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  type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 87.16
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  - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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  type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 63.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
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  type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
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  value: 76.7
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
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  | QAAlignedF1Score (BERTScore) | 87.16 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedF1Score (MoverScore) | 63.08 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedPrecision (BERTScore) | 87.17 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedPrecision (MoverScore) | 63.1 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedRecall (BERTScore) | 87.16 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedRecall (MoverScore) | 63.06 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
 
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  - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mbart-large-cc25-jaquad-ae`](https://huggingface.co/lmqg/mbart-large-cc25-jaquad-ae). [raw metric file](https://huggingface.co/lmqg/mbart-large-cc25-jaquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_jaquad.default.lmqg_mbart-large-cc25-jaquad-ae.json)
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
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  | QAAlignedF1Score (BERTScore) | 76.7 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedF1Score (MoverScore) | 53.64 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedPrecision (BERTScore) | 74.75 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedPrecision (MoverScore) | 52.32 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedRecall (BERTScore) | 78.87 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
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  | QAAlignedRecall (MoverScore) | 55.14 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
 
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