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: 52.96
+    - name: BLEU4 (Answer Extraction)
+      type: bleu4_answer_extraction
+      value: 23.89
+    - name: ROUGE-L (Answer Extraction)
+      type: rouge_l_answer_extraction
+      value: 48.58
+    - name: METEOR (Answer Extraction)
+      type: meteor_answer_extraction
+      value: 43.11
+    - name: BERTScore (Answer Extraction)
+      type: bertscore_answer_extraction
+      value: 89.77
+    - name: MoverScore (Answer Extraction)
+      type: moverscore_answer_extraction
+      value: 80.64
+    - name: AnswerF1Score (Answer Extraction)
+      type: answer_f1_score__answer_extraction
+      value: 75.31
+    - name: AnswerExactMatch (Answer Extraction)
+      type: answer_exact_match_answer_extraction
+      value: 57.63
 ---
 
 # Model Card of `lmqg/mt5-small-esquad-qg-ae`
@@ -139,6 +160,22 @@ question = pipe("extract answers: <hl> En la diáspora somalí, múltiples event
 | QAAlignedRecall (MoverScore)    |   56.21 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 
 
+- ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/mt5-small-esquad-qg-ae/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_esquad.default.json)
+
+|                  |   Score | Type    | Dataset                                                          |
+|:-----------------|--------:|:--------|:-----------------------------------------------------------------|
+| AnswerExactMatch |   57.63 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
+| AnswerF1Score    |   75.31 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
+| BERTScore        |   89.77 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
+| Bleu_1           |   35.18 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
+| Bleu_2           |   30.48 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
+| Bleu_3           |   26.92 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
+| Bleu_4           |   23.89 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
+| METEOR           |   43.11 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
+| MoverScore       |   80.64 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
+| ROUGE_L          |   48.58 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
+
+
 
 ## Training hyperparameters