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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: 55.73
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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: 0.1
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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: 16.04
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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: 20.11
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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: 74.64
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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: 52.95
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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: 90.63
@@ -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: 65.34
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- - name: BLEU4 (Question & Answer Generation)
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- type: bleu4_question_answer_generation
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- value: 0.87
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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: 15.67
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- - name: METEOR (Question & Answer Generation)
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- type: meteor_question_answer_generation
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- value: 19.57
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- - name: BERTScore (Question & Answer Generation)
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- type: bertscore_question_answer_generation
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- value: 69.82
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- - name: MoverScore (Question & Answer Generation)
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- type: moverscore_question_answer_generation
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- value: 52.32
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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: 76.86
@@ -169,40 +139,24 @@ output = pipe("Empfangs- und Sendeantenne sollen in ihrer Polarisation übereins
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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- | BERTScore | 74.64 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | Bleu_1 | 14.48 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | Bleu_2 | 6.53 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | Bleu_3 | 0.61 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | Bleu_4 | 0.1 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | METEOR | 20.11 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | MoverScore | 52.95 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedF1Score (BERTScore) | 90.63 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedF1Score (MoverScore) | 65.32 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedPrecision (BERTScore) | 90.65 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedPrecision (MoverScore) | 65.34 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedRecall (BERTScore) | 90.61 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedRecall (MoverScore) | 65.3 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | ROUGE_L | 16.04 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-dequad-ae`](https://huggingface.co/lmqg/mt5-base-dequad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-dequad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_dequad.default.lmqg_mt5-base-dequad-ae.json)
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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- | BERTScore | 69.82 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | Bleu_1 | 13.47 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | Bleu_2 | 6.32 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | Bleu_3 | 2.03 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | Bleu_4 | 0.87 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | METEOR | 19.57 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | MoverScore | 52.32 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedF1Score (BERTScore) | 76.86 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedF1Score (MoverScore) | 52.96 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedPrecision (BERTScore) | 76.28 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedPrecision (MoverScore) | 52.93 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedRecall (BERTScore) | 77.55 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedRecall (MoverScore) | 53.06 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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- | ROUGE_L | 15.67 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  - name: MoverScore (Question Generation)
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  type: moverscore_question_generation
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  value: 55.73
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 90.63
 
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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: 65.34
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 76.86
 
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
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  | QAAlignedF1Score (BERTScore) | 90.63 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedF1Score (MoverScore) | 65.32 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedPrecision (BERTScore) | 90.65 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedPrecision (MoverScore) | 65.34 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedRecall (BERTScore) | 90.61 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedRecall (MoverScore) | 65.3 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 
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  - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-dequad-ae`](https://huggingface.co/lmqg/mt5-base-dequad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-dequad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_dequad.default.lmqg_mt5-base-dequad-ae.json)
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
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  | QAAlignedF1Score (BERTScore) | 76.86 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedF1Score (MoverScore) | 52.96 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedPrecision (BERTScore) | 76.28 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedPrecision (MoverScore) | 52.93 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedRecall (BERTScore) | 77.55 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  | QAAlignedRecall (MoverScore) | 53.06 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 
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