lmqg
/

bart-base-tweetqa-qag

Text2Text Generation

questions and answers generation

Inference Endpoints

Model card Files Files and versions Community

asahi417 commited on Nov 22, 2022

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027adfc

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1 Parent(s): bfe20fd

model update

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README.md +5 -5

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@@ -38,16 +38,16 @@ model-index:
       value: 0.25656735184843016
     - name: BERTScore
       type: bertscore
-      value: 0.9118556716634315
     - name: MoverScore
       type: moverscore
-      value: 0.6159359537482391
     - name: QAAlignedF1Score (BERTScore)
       type: qa_aligned_f1_score_bertscore
-      value: 0.9215854780744414
     - name: QAAlignedF1Score (MoverScore)
       type: qa_aligned_f1_score_moverscore
-      value: 0.6404248757403275
 ---
 # Model Card of `lmqg/bart-base-tweetqa-qag`
@@ -118,7 +118,7 @@ question = pipe(' Beyonce further expanded her acting career, starring as blues
 | Dataset | Type | QA Aligned F1 Score (BERTScore) | QA Aligned F1 Score (MoverScore) | Link |
 |:--------|:-----|--------------------------------:|---------------------------------:|-----:|
-| [lmqg/qag_tweetqa](https://huggingface.co/datasets/lmqg/qag_tweetqa) | default | 0.922 | 0.64 | [link](https://huggingface.co/lmqg/bart-base-tweetqa-qag/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qag_tweetqa.default.json) |

       value: 0.25656735184843016
     - name: BERTScore
       type: bertscore
+      value: 0.9118556745260903
     - name: MoverScore
       type: moverscore
+      value: 0.6159359582631277
     - name: QAAlignedF1Score (BERTScore)
       type: qa_aligned_f1_score_bertscore
+      value: 0.9149530689946653
     - name: QAAlignedF1Score (MoverScore)
       type: qa_aligned_f1_score_moverscore
+      value: 0.6377628634079008
 ---
 # Model Card of `lmqg/bart-base-tweetqa-qag`
 | Dataset | Type | QA Aligned F1 Score (BERTScore) | QA Aligned F1 Score (MoverScore) | Link |
 |:--------|:-----|--------------------------------:|---------------------------------:|-----:|
+| [lmqg/qag_tweetqa](https://huggingface.co/datasets/lmqg/qag_tweetqa) | default | 0.915 | 0.638 | [link](https://huggingface.co/lmqg/bart-base-tweetqa-qag/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qag_tweetqa.default.json) |