model update
Browse files
README.md
CHANGED
@@ -51,21 +51,6 @@ model-index:
|
|
51 |
- name: MoverScore (Question Generation)
|
52 |
type: moverscore_question_generation
|
53 |
value: 83.24
|
54 |
-
- name: BLEU4 (Question & Answer Generation (with Gold Answer))
|
55 |
-
type: bleu4_question_answer_generation_with_gold_answer
|
56 |
-
value: 1.05
|
57 |
-
- name: ROUGE-L (Question & Answer Generation (with Gold Answer))
|
58 |
-
type: rouge_l_question_answer_generation_with_gold_answer
|
59 |
-
value: 12.74
|
60 |
-
- name: METEOR (Question & Answer Generation (with Gold Answer))
|
61 |
-
type: meteor_question_answer_generation_with_gold_answer
|
62 |
-
value: 23.49
|
63 |
-
- name: BERTScore (Question & Answer Generation (with Gold Answer))
|
64 |
-
type: bertscore_question_answer_generation_with_gold_answer
|
65 |
-
value: 67.47
|
66 |
-
- name: MoverScore (Question & Answer Generation (with Gold Answer))
|
67 |
-
type: moverscore_question_answer_generation_with_gold_answer
|
68 |
-
value: 62.16
|
69 |
- name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer))
|
70 |
type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer
|
71 |
value: 80.28
|
@@ -167,20 +152,12 @@ question = pipe("extract answers: 또한 스피어스는 많은 새로운 여성
|
|
167 |
|
168 |
| | Score | Type | Dataset |
|
169 |
|:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
|
170 |
-
| BERTScore | 67.47 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
171 |
-
| Bleu_1 | 7.87 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
172 |
-
| Bleu_2 | 4.3 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
173 |
-
| Bleu_3 | 2.12 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
174 |
-
| Bleu_4 | 1.05 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
175 |
-
| METEOR | 23.49 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
176 |
-
| MoverScore | 62.16 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
177 |
| QAAlignedF1Score (BERTScore) | 80.28 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
178 |
| QAAlignedF1Score (MoverScore) | 81.97 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
179 |
| QAAlignedPrecision (BERTScore) | 77.03 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
180 |
| QAAlignedPrecision (MoverScore) | 78.1 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
181 |
| QAAlignedRecall (BERTScore) | 83.91 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
182 |
| QAAlignedRecall (MoverScore) | 86.43 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
183 |
-
| ROUGE_L | 12.74 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
184 |
|
185 |
|
186 |
- ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/mt5-base-koquad-qg-ae/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_koquad.default.json)
|
|
|
51 |
- name: MoverScore (Question Generation)
|
52 |
type: moverscore_question_generation
|
53 |
value: 83.24
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
54 |
- name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer))
|
55 |
type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer
|
56 |
value: 80.28
|
|
|
152 |
|
153 |
| | Score | Type | Dataset |
|
154 |
|:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
155 |
| QAAlignedF1Score (BERTScore) | 80.28 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
156 |
| QAAlignedF1Score (MoverScore) | 81.97 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
157 |
| QAAlignedPrecision (BERTScore) | 77.03 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
158 |
| QAAlignedPrecision (MoverScore) | 78.1 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
159 |
| QAAlignedRecall (BERTScore) | 83.91 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
160 |
| QAAlignedRecall (MoverScore) | 86.43 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
|
|
|
161 |
|
162 |
|
163 |
- ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/mt5-base-koquad-qg-ae/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_koquad.default.json)
|