model update

README.md

@@ -51,23 +51,38 @@ model-index:
     - name: MoverScore (Question Generation)
       type: moverscore_question_generation
       value: 55.1
-    - 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: 1.03
+    - name: ROUGE-L (Question & Answer Generation (with Gold Answer))
+      type: rouge_l_question_answer_generation_with_gold_answer
+      value: 17.07
+    - name: METEOR (Question & Answer Generation (with Gold Answer))
+      type: meteor_question_answer_generation_with_gold_answer
+      value: 20.36
+    - name: BERTScore (Question & Answer Generation (with Gold Answer))
+      type: bertscore_question_answer_generation_with_gold_answer
+      value: 72.77
+    - name: MoverScore (Question & Answer Generation (with Gold Answer))
+      type: moverscore_question_answer_generation_with_gold_answer
+      value: 52.71
+    - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer))
+      type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer
       value: 80.02
-    - 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: 81.23
-    - 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: 78.91
-    - 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: 53.99
-    - 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: 54.27
-    - 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: 53.77
     - name: BLEU4 (Answer Extraction)
       type: bleu4_answer_extraction
@@ -152,12 +167,20 @@ question = pipe("extract answers: Sommerzeit <hl> Frühling <hl>: Umstellung von
 
 |                                 |   Score | Type    | Dataset                                                          |
 |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
+| BERTScore                       |   72.77 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_1                          |   15.62 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_2                          |    7.61 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_3                          |    2.48 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_4                          |    1.03 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| METEOR                          |   20.36 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| MoverScore                      |   52.71 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedF1Score (BERTScore)    |   80.02 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedF1Score (MoverScore)   |   53.99 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedPrecision (BERTScore)  |   78.91 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedPrecision (MoverScore) |   53.77 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedRecall (BERTScore)     |   81.23 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedRecall (MoverScore)    |   54.27 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| ROUGE_L                         |   17.07 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 
 
 - ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/mt5-small-dequad-qg-ae/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_dequad.default.json)