model update

README.md

@@ -51,23 +51,38 @@ model-index:
     - name: MoverScore (Question Generation)
       type: moverscore_question_generation
       value: 82.54
-    - name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
-      type: qa_aligned_f1_score_bertscore_question_answer_generation
+    - name: BLEU4 (Question & Answer Generation (with Gold Answer))
+      type: bleu4_question_answer_generation_with_gold_answer
+      value: 1.01
+    - name: ROUGE-L (Question & Answer Generation (with Gold Answer))
+      type: rouge_l_question_answer_generation_with_gold_answer
+      value: 13.22
+    - name: METEOR (Question & Answer Generation (with Gold Answer))
+      type: meteor_question_answer_generation_with_gold_answer
+      value: 23.79
+    - name: BERTScore (Question & Answer Generation (with Gold Answer))
+      type: bertscore_question_answer_generation_with_gold_answer
+      value: 68.11
+    - name: MoverScore (Question & Answer Generation (with Gold Answer))
+      type: moverscore_question_answer_generation_with_gold_answer
+      value: 62.67
+    - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer))
+      type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer
       value: 80.36
-    - name: QAAlignedRecall-BERTScore (Question & Answer Generation)
-      type: qa_aligned_recall_bertscore_question_answer_generation
+    - name: QAAlignedRecall-BERTScore (Question & Answer Generation (with Gold Answer))
+      type: qa_aligned_recall_bertscore_question_answer_generation_with_gold_answer
       value: 83.72
-    - name: QAAlignedPrecision-BERTScore (Question & Answer Generation)
-      type: qa_aligned_precision_bertscore_question_answer_generation
+    - name: QAAlignedPrecision-BERTScore (Question & Answer Generation (with Gold Answer))
+      type: qa_aligned_precision_bertscore_question_answer_generation_with_gold_answer
       value: 77.34
-    - name: QAAlignedF1Score-MoverScore (Question & Answer Generation)
-      type: qa_aligned_f1_score_moverscore_question_answer_generation
+    - name: QAAlignedF1Score-MoverScore (Question & Answer Generation (with Gold Answer))
+      type: qa_aligned_f1_score_moverscore_question_answer_generation_with_gold_answer
       value: 82.55
-    - name: QAAlignedRecall-MoverScore (Question & Answer Generation)
-      type: qa_aligned_recall_moverscore_question_answer_generation
+    - name: QAAlignedRecall-MoverScore (Question & Answer Generation (with Gold Answer))
+      type: qa_aligned_recall_moverscore_question_answer_generation_with_gold_answer
       value: 86.69
-    - name: QAAlignedPrecision-MoverScore (Question & Answer Generation)
-      type: qa_aligned_precision_moverscore_question_answer_generation
+    - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer))
+      type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer
       value: 78.93
     - name: BLEU4 (Answer Extraction)
       type: bleu4_answer_extraction
@@ -152,12 +167,20 @@ question = pipe("extract answers: 또한 스피어스는 많은 새로운 여성
 
 |                                 |   Score | Type    | Dataset                                                          |
 |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
+| BERTScore                       |   68.11 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_1                          |    8.34 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_2                          |    4.4  | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_3                          |    2.1  | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| Bleu_4                          |    1.01 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| METEOR                          |   23.79 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| MoverScore                      |   62.67 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
 | QAAlignedF1Score (BERTScore)    |   80.36 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
 | QAAlignedF1Score (MoverScore)   |   82.55 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
 | QAAlignedPrecision (BERTScore)  |   77.34 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
 | QAAlignedPrecision (MoverScore) |   78.93 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
 | QAAlignedRecall (BERTScore)     |   83.72 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
 | QAAlignedRecall (MoverScore)    |   86.69 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
+| ROUGE_L                         |   13.22 | 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)