model update
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README.md
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- name: MoverScore
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type: moverscore
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value: 0.6051879460523261
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---
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# Model Card of `lmqg/t5-small-tweetqa-qag`
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| [lmqg/qag_tweetqa](https://huggingface.co/datasets/lmqg/qag_tweetqa) | default | 0.104 | 0.344 | 0.279 | 0.897 | 0.605 | [link](https://huggingface.co/lmqg/t5-small-tweetqa-qag/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qag_tweetqa.default.json) |
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## Training hyperparameters
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- name: MoverScore
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type: moverscore
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value: 0.6051879460523261
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- name: QAAlignedF1Score (BERTScore)
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type: qa_aligned_f1_score_bertscore
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value: 0.9158554176310986
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- name: QAAlignedF1Score (MoverScore)
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type: qa_aligned_f1_score_moverscore
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value: 0.6316423785253936
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---
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# Model Card of `lmqg/t5-small-tweetqa-qag`
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| [lmqg/qag_tweetqa](https://huggingface.co/datasets/lmqg/qag_tweetqa) | default | 0.104 | 0.344 | 0.279 | 0.897 | 0.605 | [link](https://huggingface.co/lmqg/t5-small-tweetqa-qag/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qag_tweetqa.default.json) |
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### Metrics (QAG)
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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/qag_tweetqa](https://huggingface.co/datasets/lmqg/qag_tweetqa) | default | 0.916 | 0.632 | [link](https://huggingface.co/lmqg/t5-small-tweetqa-qag/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qag_tweetqa.default.json) |
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## Training hyperparameters
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