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lmqg
/
mt5-base-dequad-qag

Text2Text Generation
Transformers
PyTorch
German
mt5
questions and answers generation
Eval Results
Inference Endpoints
Model card Files Community
1
asahi417 commited on
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5571a3f
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1 Parent(s): 2531931

model update

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  1. README.md +6 -29
README.md CHANGED
@@ -27,21 +27,6 @@ model-index:
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  type: default
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  args: default
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  metrics:
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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: 7.56
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- - name: METEOR (Question & Answer Generation)
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- type: meteor_question_answer_generation
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- value: 5.02
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- - name: BERTScore (Question & Answer Generation)
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- type: bertscore_question_answer_generation
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- value: 53.64
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- - name: MoverScore (Question & Answer Generation)
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- type: moverscore_question_answer_generation
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- value: 46.71
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  - name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
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  type: qa_aligned_f1_score_bertscore_question_answer_generation
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  value: 0.1
@@ -103,20 +88,12 @@ 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 | 53.64 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | Bleu_1 | 4.78 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | Bleu_2 | 0.75 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | Bleu_3 | 0.13 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | Bleu_4 | 0 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | METEOR | 5.02 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | MoverScore | 46.71 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | QAAlignedF1Score (BERTScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | QAAlignedF1Score (MoverScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | QAAlignedPrecision (BERTScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | QAAlignedPrecision (MoverScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | QAAlignedRecall (BERTScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | QAAlignedRecall (MoverScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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- | ROUGE_L | 7.56 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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  type: default
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  args: default
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  metrics:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
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  type: qa_aligned_f1_score_bertscore_question_answer_generation
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  value: 0.1
 
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-------------------------------------------------------------------|
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+ | QAAlignedF1Score (BERTScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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+ | QAAlignedF1Score (MoverScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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+ | QAAlignedPrecision (BERTScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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+ | QAAlignedPrecision (MoverScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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+ | QAAlignedRecall (BERTScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
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+ | QAAlignedRecall (MoverScore) | 0.1 | default | [lmqg/qag_dequad](https://huggingface.co/datasets/lmqg/qag_dequad) |
 
 
 
 
 
 
 
 
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