asahi417 commited on
Commit
0bef6d4
1 Parent(s): fe65532

model update

Browse files
Files changed (1) hide show
  1. README.md +53 -0
README.md CHANGED
@@ -79,6 +79,39 @@ 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: 70.07
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
82
  ---
83
 
84
  # Model Card of `lmqg/mt5-base-ruquad-qg`
@@ -152,6 +185,26 @@ output = pipe("Нелишним будет отметить, что, разви
152
  | ROUGE_L | 52.09 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
153
 
154
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
155
 
156
  ## Training hyperparameters
157
 
 
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: 70.07
82
+ - name: BLEU4 (Question & Answer Generation)
83
+ type: bleu4_question_answer_generation
84
+ value: 2.31
85
+ - name: ROUGE-L (Question & Answer Generation)
86
+ type: rouge_l_question_answer_generation
87
+ value: 14.44
88
+ - name: METEOR (Question & Answer Generation)
89
+ type: meteor_question_answer_generation
90
+ value: 21.31
91
+ - name: BERTScore (Question & Answer Generation)
92
+ type: bertscore_question_answer_generation
93
+ value: 66.17
94
+ - name: MoverScore (Question & Answer Generation)
95
+ type: moverscore_question_answer_generation
96
+ value: 51.55
97
+ - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
98
+ type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
99
+ value: 77.03
100
+ - name: QAAlignedRecall-BERTScore (Question & Answer Generation) [Gold Answer]
101
+ type: qa_aligned_recall_bertscore_question_answer_generation_gold_answer
102
+ value: 81.17
103
+ - name: QAAlignedPrecision-BERTScore (Question & Answer Generation) [Gold Answer]
104
+ type: qa_aligned_precision_bertscore_question_answer_generation_gold_answer
105
+ value: 73.44
106
+ - name: QAAlignedF1Score-MoverScore (Question & Answer Generation) [Gold Answer]
107
+ type: qa_aligned_f1_score_moverscore_question_answer_generation_gold_answer
108
+ value: 55.61
109
+ - name: QAAlignedRecall-MoverScore (Question & Answer Generation) [Gold Answer]
110
+ type: qa_aligned_recall_moverscore_question_answer_generation_gold_answer
111
+ value: 58.39
112
+ - name: QAAlignedPrecision-MoverScore (Question & Answer Generation) [Gold Answer]
113
+ type: qa_aligned_precision_moverscore_question_answer_generation_gold_answer
114
+ value: 53.27
115
  ---
116
 
117
  # Model Card of `lmqg/mt5-base-ruquad-qg`
 
185
  | ROUGE_L | 52.09 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
186
 
187
 
188
+ - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-ruquad-ae`](https://huggingface.co/lmqg/mt5-base-ruquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-ruquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_ruquad.default.lmqg_mt5-base-ruquad-ae.json)
189
+
190
+ | | Score | Type | Dataset |
191
+ |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
192
+ | BERTScore | 66.17 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
193
+ | Bleu_1 | 9.6 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
194
+ | Bleu_2 | 5.64 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
195
+ | Bleu_3 | 3.61 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
196
+ | Bleu_4 | 2.31 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
197
+ | METEOR | 21.31 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
198
+ | MoverScore | 51.55 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
199
+ | QAAlignedF1Score (BERTScore) | 77.03 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
200
+ | QAAlignedF1Score (MoverScore) | 55.61 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
201
+ | QAAlignedPrecision (BERTScore) | 73.44 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
202
+ | QAAlignedPrecision (MoverScore) | 53.27 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
203
+ | QAAlignedRecall (BERTScore) | 81.17 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
204
+ | QAAlignedRecall (MoverScore) | 58.39 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
205
+ | ROUGE_L | 14.44 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
206
+
207
+
208
 
209
  ## Training hyperparameters
210