model update

README.md

@@ -51,23 +51,38 @@ model-index:
     - name: MoverScore (Question Generation)
       type: moverscore_question_generation
       value: 58.85
-    - 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: 0.0
+    - name: ROUGE-L (Question & Answer Generation (with Gold Answer))
+      type: rouge_l_question_answer_generation_with_gold_answer
+      value: 0.53
+    - name: METEOR (Question & Answer Generation (with Gold Answer))
+      type: meteor_question_answer_generation_with_gold_answer
+      value: 23.7
+    - name: BERTScore (Question & Answer Generation (with Gold Answer))
+      type: bertscore_question_answer_generation_with_gold_answer
+      value: 64.05
+    - name: MoverScore (Question & Answer Generation (with Gold Answer))
+      type: moverscore_question_answer_generation_with_gold_answer
+      value: 50.99
+    - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer))
+      type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer
       value: 80.35
-    - 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: 83.79
-    - 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: 77.28
-    - 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: 56.23
-    - 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: 58.81
-    - 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: 54.02
     - name: BLEU4 (Answer Extraction)
       type: bleu4_answer_extraction
@@ -152,12 +167,20 @@ question = pipe("extract answers: 『クマのプーさん』の物語はまず1
 
 |                                 |   Score | Type    | Dataset                                                          |
 |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
+| BERTScore                       |   64.05 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
+| Bleu_1                          |    0.25 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
+| Bleu_2                          |    0.01 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
+| Bleu_3                          |    0    | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
+| Bleu_4                          |    0    | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
+| METEOR                          |   23.7  | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
+| MoverScore                      |   50.99 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
 | QAAlignedF1Score (BERTScore)    |   80.35 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
 | QAAlignedF1Score (MoverScore)   |   56.23 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
 | QAAlignedPrecision (BERTScore)  |   77.28 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
 | QAAlignedPrecision (MoverScore) |   54.02 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
 | QAAlignedRecall (BERTScore)     |   83.79 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
 | QAAlignedRecall (MoverScore)    |   58.81 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
+| ROUGE_L                         |    0.53 | default | [lmqg/qg_jaquad](https://huggingface.co/datasets/lmqg/qg_jaquad) |
 
 
 - ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/mt5-base-jaquad-qg-ae/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_jaquad.default.json)