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: 53.77
+    - name: BLEU4 (Answer Extraction)
+      type: bleu4_answer_extraction
+      value: 5.83
+    - name: ROUGE-L (Answer Extraction)
+      type: rouge_l_answer_extraction
+      value: 18.26
+    - name: METEOR (Answer Extraction)
+      type: meteor_answer_extraction
+      value: 22.47
+    - name: BERTScore (Answer Extraction)
+      type: bertscore_answer_extraction
+      value: 75.15
+    - name: MoverScore (Answer Extraction)
+      type: moverscore_answer_extraction
+      value: 57.76
+    - name: AnswerF1Score (Answer Extraction)
+      type: answer_f1_score__answer_extraction
+      value: 37.66
+    - name: AnswerExactMatch (Answer Extraction)
+      type: answer_exact_match_answer_extraction
+      value: 9.94
 ---
 
 # Model Card of `lmqg/mt5-small-dequad-qg-ae`
@@ -139,6 +160,22 @@ question = pipe("extract answers: Sommerzeit <hl> Frühling <hl>: Umstellung von
 | QAAlignedRecall (MoverScore)    |   54.27 | 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)
+
+|                  |   Score | Type    | Dataset                                                          |
+|:-----------------|--------:|:--------|:-----------------------------------------------------------------|
+| AnswerExactMatch |    9.94 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| AnswerF1Score    |   37.66 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| BERTScore        |   75.15 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_1           |   19.77 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_2           |   13.28 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_3           |    8.84 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| Bleu_4           |    5.83 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| METEOR           |   22.47 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| MoverScore       |   57.76 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| ROUGE_L          |   18.26 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+
+
 
 ## Training hyperparameters