model update

README.md

@@ -51,6 +51,12 @@ model-index:
     - name: MoverScore
       type: moverscore
       value: 0.583354319136371
+    - name: QAAlignedF1Score (BERTScore)
+      type: qa_aligned_f1_score_bertscore
+      value: 0.7976244828929961
+    - name: QAAlignedF1Score (MoverScore)
+      type: qa_aligned_f1_score_moverscore
+      value: 0.5475287486181891
 ---
 
 # Model Card of `lmqg/mt5-small-esquad-multitask`
@@ -119,6 +125,13 @@ question = pipe('generate question: del <hl> Ministerio de Desarrollo Urbano <hl
 | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) | default | 0.088 | 0.231 | 0.217 | 0.834 | 0.583 | [link](https://huggingface.co/lmqg/mt5-small-esquad-multitask/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_esquad.default.json) | 
 
 
+### Metrics (QAG)
+
+| Dataset | Type | QA Aligned F1 Score (BERTScore) | QA Aligned F1 Score (MoverScore) | Link |
+|:--------|:-----|--------------------------------:|---------------------------------:|-----:|
+| [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) | default | 0.798 | 0.548 | [link](https://huggingface.co/lmqg/mt5-small-esquad-multitask/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_esquad.default.json) | 
+    
+
 
 
 ## Training hyperparameters