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: 4.33
-    - name: ROUGE-L (Question & Answer Generation)
-      type: rouge_l_question_answer_generation
-      value: 18.59
-    - name: METEOR (Question & Answer Generation)
-      type: meteor_question_answer_generation
-      value: 23.52
-    - name: BERTScore (Question & Answer Generation)
-      type: bertscore_question_answer_generation
-      value: 69.58
-    - name: MoverScore (Question & Answer Generation)
-      type: moverscore_question_answer_generation
-      value: 52.29
     - name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
       type: qa_aligned_f1_score_bertscore_question_answer_generation
       value: 77.36
@@ -103,20 +88,12 @@ output = pipe("Нелишним будет отметить, что, разви
 
 |                                 |   Score | Type    | Dataset                                                            |
 |:--------------------------------|--------:|:--------|:-------------------------------------------------------------------|
-| BERTScore                       |   69.58 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
-| Bleu_1                          |   13.13 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
-| Bleu_2                          |    8.29 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
-| Bleu_3                          |    5.85 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
-| Bleu_4                          |    4.33 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
-| METEOR                          |   23.52 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
-| MoverScore                      |   52.29 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
 | QAAlignedF1Score (BERTScore)    |   77.36 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
 | QAAlignedF1Score (MoverScore)   |   56.1  | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
 | QAAlignedPrecision (BERTScore)  |   74.97 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
 | QAAlignedPrecision (MoverScore) |   54.4  | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
 | QAAlignedRecall (BERTScore)     |   80.05 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
 | QAAlignedRecall (MoverScore)    |   58.11 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |
-| ROUGE_L                         |   18.59 | default | [lmqg/qag_ruquad](https://huggingface.co/datasets/lmqg/qag_ruquad) |