model update

README.md

@@ -51,21 +51,6 @@ model-index:
     - name: MoverScore (Question Generation)
       type: moverscore_question_generation
       value: 58.34
-    - name: BLEU4 (Question & Answer Generation (with Gold Answer))
-      type: bleu4_question_answer_generation_with_gold_answer
-      value: 1.73
-    - name: ROUGE-L (Question & Answer Generation (with Gold Answer))
-      type: rouge_l_question_answer_generation_with_gold_answer
-      value: 14.86
-    - name: METEOR (Question & Answer Generation (with Gold Answer))
-      type: meteor_question_answer_generation_with_gold_answer
-      value: 21.82
-    - name: BERTScore (Question & Answer Generation (with Gold Answer))
-      type: bertscore_question_answer_generation_with_gold_answer
-      value: 68.93
-    - name: MoverScore (Question & Answer Generation (with Gold Answer))
-      type: moverscore_question_answer_generation_with_gold_answer
-      value: 51.59
     - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer))
       type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer
       value: 79.06
@@ -167,20 +152,12 @@ question = pipe("extract answers: <hl> En la diáspora somalí, múltiples event
 
 |                                 |   Score | Type    | Dataset                                                          |
 |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
-| BERTScore                       |   68.93 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_1                          |   10.52 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_2                          |    5.19 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_3                          |    2.82 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_4                          |    1.73 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| METEOR                          |   21.82 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| MoverScore                      |   51.59 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedF1Score (BERTScore)    |   79.06 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedF1Score (MoverScore)   |   54.49 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedPrecision (BERTScore)  |   76.46 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedPrecision (MoverScore) |   52.96 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedRecall (BERTScore)     |   81.94 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedRecall (MoverScore)    |   56.21 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| ROUGE_L                         |   14.86 | 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)