model update

README.md

@@ -69,6 +69,27 @@ model-index:
     - name: QAAlignedPrecision-MoverScore (Question & Answer Generation)
       type: qa_aligned_precision_moverscore_question_answer_generation
       value: 78.93
+    - name: BLEU4 (Answer Extraction)
+      type: bleu4_answer_extraction
+      value: 38.2
+    - name: ROUGE-L (Answer Extraction)
+      type: rouge_l_answer_extraction
+      value: 82.32
+    - name: METEOR (Answer Extraction)
+      type: meteor_answer_extraction
+      value: 59.91
+    - name: BERTScore (Answer Extraction)
+      type: bertscore_answer_extraction
+      value: 95.65
+    - name: MoverScore (Answer Extraction)
+      type: moverscore_answer_extraction
+      value: 94.61
+    - name: AnswerF1Score (Answer Extraction)
+      type: answer_f1_score__answer_extraction
+      value: 86.98
+    - name: AnswerExactMatch (Answer Extraction)
+      type: answer_exact_match_answer_extraction
+      value: 80.78
 ---
 
 # Model Card of `lmqg/mt5-small-koquad-qg-ae`
@@ -139,6 +160,22 @@ question = pipe("extract answers: 또한 스피어스는 많은 새로운 여성
 | QAAlignedRecall (MoverScore)    |   86.69 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
 
 
+- ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/mt5-small-koquad-qg-ae/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_koquad.default.json)
+
+|                  |   Score | Type    | Dataset                                                          |
+|:-----------------|--------:|:--------|:-----------------------------------------------------------------|
+| AnswerExactMatch |   80.78 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| AnswerF1Score    |   86.98 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| BERTScore        |   95.65 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_1           |   75.14 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_2           |   66.16 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_3           |   53.61 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_4           |   38.2  | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| METEOR           |   59.91 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| MoverScore       |   94.61 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| ROUGE_L          |   82.32 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+
+
 
 ## Training hyperparameters