model update

README.md

@@ -27,21 +27,6 @@ model-index:
       type: default
       args: default
     metrics:
-    - name: BLEU4 (Question & Answer Generation)
-      type: bleu4_question_answer_generation
-      value: 1.53
-    - name: ROUGE-L (Question & Answer Generation)
-      type: rouge_l_question_answer_generation
-      value: 13.3
-    - name: METEOR (Question & Answer Generation)
-      type: meteor_question_answer_generation
-      value: 17.56
-    - name: BERTScore (Question & Answer Generation)
-      type: bertscore_question_answer_generation
-      value: 64.69
-    - name: MoverScore (Question & Answer Generation)
-      type: moverscore_question_answer_generation
-      value: 50.34
     - name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
       type: qa_aligned_f1_score_bertscore_question_answer_generation
       value: 78.96
@@ -103,20 +88,12 @@ output = pipe("del Ministerio de Desarrollo Urbano , Gobierno de la India.")
 
 |                                 |   Score | Type    | Dataset                                                            |
 |:--------------------------------|--------:|:--------|:-------------------------------------------------------------------|
-| BERTScore                       |   64.69 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| Bleu_1                          |    7.9  | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| Bleu_2                          |    3.81 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| Bleu_3                          |    2.27 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| Bleu_4                          |    1.53 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| METEOR                          |   17.56 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| MoverScore                      |   50.34 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedF1Score (BERTScore)    |   78.96 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedF1Score (MoverScore)   |   54.3  | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedPrecision (BERTScore)  |   78.66 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedPrecision (MoverScore) |   54.21 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedRecall (BERTScore)     |   79.31 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedRecall (MoverScore)    |   54.42 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| ROUGE_L                         |   13.3  | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |