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model update

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  1. README.md +37 -0
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@@ -69,6 +69,27 @@ model-index:
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  - name: QAAlignedPrecision-MoverScore (Question & Answer Generation)
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  type: qa_aligned_precision_moverscore_question_answer_generation
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  value: 53.77
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Card of `lmqg/mt5-small-dequad-qg-ae`
@@ -139,6 +160,22 @@ question = pipe("extract answers: Sommerzeit <hl> Frühling <hl>: Umstellung von
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  | QAAlignedRecall (MoverScore) | 54.27 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  ## Training hyperparameters
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  - name: QAAlignedPrecision-MoverScore (Question & Answer Generation)
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  type: qa_aligned_precision_moverscore_question_answer_generation
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  value: 53.77
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+ - name: BLEU4 (Answer Extraction)
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+ type: bleu4_answer_extraction
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+ value: 5.83
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+ - name: ROUGE-L (Answer Extraction)
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+ type: rouge_l_answer_extraction
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+ value: 18.26
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+ - name: METEOR (Answer Extraction)
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+ type: meteor_answer_extraction
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+ value: 22.47
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+ - name: BERTScore (Answer Extraction)
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+ type: bertscore_answer_extraction
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+ value: 75.15
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+ - name: MoverScore (Answer Extraction)
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+ type: moverscore_answer_extraction
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+ value: 57.76
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+ - name: AnswerF1Score (Answer Extraction)
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+ type: answer_f1_score__answer_extraction
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+ value: 37.66
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+ - name: AnswerExactMatch (Answer Extraction)
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+ type: answer_exact_match_answer_extraction
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+ value: 9.94
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  ---
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  # Model Card of `lmqg/mt5-small-dequad-qg-ae`
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  | QAAlignedRecall (MoverScore) | 54.27 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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+ - ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/mt5-small-dequad-qg-ae/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_dequad.default.json)
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+
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+ | | Score | Type | Dataset |
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+ |:-----------------|--------:|:--------|:-----------------------------------------------------------------|
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+ | AnswerExactMatch | 9.94 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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+ | AnswerF1Score | 37.66 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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+ | BERTScore | 75.15 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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+ | Bleu_1 | 19.77 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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+ | Bleu_2 | 13.28 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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+ | Bleu_3 | 8.84 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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+ | Bleu_4 | 5.83 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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+ | METEOR | 22.47 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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+ | MoverScore | 57.76 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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+ | ROUGE_L | 18.26 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
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  ## Training hyperparameters
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