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: 1.36
-    - name: ROUGE-L (Question & Answer Generation)
-      type: rouge_l_question_answer_generation
-      value: 12.76
-    - name: METEOR (Question & Answer Generation)
-      type: meteor_question_answer_generation
-      value: 16.9
-    - name: BERTScore (Question & Answer Generation)
-      type: bertscore_question_answer_generation
-      value: 64.09
-    - name: MoverScore (Question & Answer Generation)
-      type: moverscore_question_answer_generation
-      value: 50.15
     - name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
       type: qa_aligned_f1_score_bertscore_question_answer_generation
       value: 78.12
@@ -103,20 +88,12 @@ output = pipe("del Ministerio de Desarrollo Urbano , Gobierno de la India.")
 
 |                                 |   Score | Type    | Dataset                                                            |
 |:--------------------------------|--------:|:--------|:-------------------------------------------------------------------|
-| BERTScore                       |   64.09 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| Bleu_1                          |    7.43 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| Bleu_2                          |    3.51 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| Bleu_3                          |    2.04 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| Bleu_4                          |    1.36 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| METEOR                          |   16.9  | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| MoverScore                      |   50.15 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedF1Score (BERTScore)    |   78.12 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedF1Score (MoverScore)   |   53.92 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedPrecision (BERTScore)  |   78    | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedPrecision (MoverScore) |   53.93 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedRecall (BERTScore)     |   78.27 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
 | QAAlignedRecall (MoverScore)    |   53.93 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |
-| ROUGE_L                         |   12.76 | default | [lmqg/qag_esquad](https://huggingface.co/datasets/lmqg/qag_esquad) |