asahi417 commited on
Commit
dec0a1a
1 Parent(s): fc2ecf4

model update

Browse files
Files changed (1) hide show
  1. README.md +0 -46
README.md CHANGED
@@ -46,21 +46,6 @@ model-index:
46
  - name: MoverScore (Question Generation)
47
  type: moverscore_question_generation
48
  value: 83.36
49
- - name: BLEU4 (Question & Answer Generation (with Gold Answer))
50
- type: bleu4_question_answer_generation_with_gold_answer
51
- value: 12.08
52
- - name: ROUGE-L (Question & Answer Generation (with Gold Answer))
53
- type: rouge_l_question_answer_generation_with_gold_answer
54
- value: 48.7
55
- - name: METEOR (Question & Answer Generation (with Gold Answer))
56
- type: meteor_question_answer_generation_with_gold_answer
57
- value: 38.75
58
- - name: BERTScore (Question & Answer Generation (with Gold Answer))
59
- type: bertscore_question_answer_generation_with_gold_answer
60
- value: 88.5
61
- - name: MoverScore (Question & Answer Generation (with Gold Answer))
62
- type: moverscore_question_answer_generation_with_gold_answer
63
- value: 85.18
64
  - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
65
  type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer_gold_answer
66
  value: 88.8
@@ -79,21 +64,6 @@ model-index:
79
  - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
80
  type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
81
  value: 86.01
82
- - name: BLEU4 (Question & Answer Generation)
83
- type: bleu4_question_answer_generation
84
- value: 0.65
85
- - name: ROUGE-L (Question & Answer Generation)
86
- type: rouge_l_question_answer_generation
87
- value: 11.32
88
- - name: METEOR (Question & Answer Generation)
89
- type: meteor_question_answer_generation
90
- value: 17.42
91
- - name: BERTScore (Question & Answer Generation)
92
- type: bertscore_question_answer_generation
93
- value: 61.72
94
- - name: MoverScore (Question & Answer Generation)
95
- type: moverscore_question_answer_generation
96
- value: 61.82
97
  - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
98
  type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
99
  value: 77.26
@@ -169,40 +139,24 @@ output = pipe("1990년 영화 《 <hl> 남부군 <hl> 》에서 단역으로 영
169
 
170
  | | Score | Type | Dataset |
171
  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
172
- | BERTScore | 88.5 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
173
- | Bleu_1 | 43.95 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
174
- | Bleu_2 | 32.47 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
175
- | Bleu_3 | 20.34 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
176
- | Bleu_4 | 12.08 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
177
- | METEOR | 38.75 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
178
- | MoverScore | 85.18 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
179
  | QAAlignedF1Score (BERTScore) | 88.8 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
180
  | QAAlignedF1Score (MoverScore) | 85.93 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
181
  | QAAlignedPrecision (BERTScore) | 88.84 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
182
  | QAAlignedPrecision (MoverScore) | 86.01 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
183
  | QAAlignedRecall (BERTScore) | 88.76 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
184
  | QAAlignedRecall (MoverScore) | 85.87 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
185
- | ROUGE_L | 48.7 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
186
 
187
 
188
  - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-koquad-ae`](https://huggingface.co/lmqg/mt5-base-koquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-koquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mt5-base-koquad-ae.json)
189
 
190
  | | Score | Type | Dataset |
191
  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
192
- | BERTScore | 61.72 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
193
- | Bleu_1 | 6.83 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
194
- | Bleu_2 | 3.13 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
195
- | Bleu_3 | 1.38 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
196
- | Bleu_4 | 0.65 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
197
- | METEOR | 17.42 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
198
- | MoverScore | 61.82 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
199
  | QAAlignedF1Score (BERTScore) | 77.26 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
200
  | QAAlignedF1Score (MoverScore) | 77.51 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
201
  | QAAlignedPrecision (BERTScore) | 76.37 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
202
  | QAAlignedPrecision (MoverScore) | 76.26 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
203
  | QAAlignedRecall (BERTScore) | 78.25 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
204
  | QAAlignedRecall (MoverScore) | 78.95 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
205
- | ROUGE_L | 11.32 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
206
 
207
 
208
 
 
46
  - name: MoverScore (Question Generation)
47
  type: moverscore_question_generation
48
  value: 83.36
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
49
  - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
50
  type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer_gold_answer
51
  value: 88.8
 
64
  - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
65
  type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
66
  value: 86.01
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
67
  - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
68
  type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
69
  value: 77.26
 
139
 
140
  | | Score | Type | Dataset |
141
  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
142
  | QAAlignedF1Score (BERTScore) | 88.8 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
143
  | QAAlignedF1Score (MoverScore) | 85.93 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
144
  | QAAlignedPrecision (BERTScore) | 88.84 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
145
  | QAAlignedPrecision (MoverScore) | 86.01 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
146
  | QAAlignedRecall (BERTScore) | 88.76 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
147
  | QAAlignedRecall (MoverScore) | 85.87 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
 
148
 
149
 
150
  - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-koquad-ae`](https://huggingface.co/lmqg/mt5-base-koquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-koquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mt5-base-koquad-ae.json)
151
 
152
  | | Score | Type | Dataset |
153
  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
154
  | QAAlignedF1Score (BERTScore) | 77.26 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
155
  | QAAlignedF1Score (MoverScore) | 77.51 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
156
  | QAAlignedPrecision (BERTScore) | 76.37 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
157
  | QAAlignedPrecision (MoverScore) | 76.26 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
158
  | QAAlignedRecall (BERTScore) | 78.25 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
159
  | QAAlignedRecall (MoverScore) | 78.95 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
 
160
 
161
 
162