zhpmatrix / Kaggle Quora Insincere Questions Classification
Kaggle新赛(baseline)-基于BERT的fine-tuning方案+基于tensor2tensor的Transformer Encoder方案
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Kaggle-Quora-Insincere-Questions-Classification
Kaggle新赛-基于BERT的fine-tuning方案baseline
submit.csv是测试集的预测结果
代码和项目基于BERT的中文tagging一样，仅提供关键fine-tuning代码和运行脚本
基于bert的验证集的结果：
| class | precision | recall | f1-score |
|---|---|---|---|
| 0 | 0.98 | 0.98 | 0.98 |
| 1 | 0.65 | 0.62 | 0.63 |
| micro avg | 0.96 | 0.96 | 0.96 |
| macro avg | 0.81 | 0.80 | 0.81 |
| weighted avg | 0.96 | 0.96 | 0.96 |
基于tensor2tensor的验证集结果：
| class | precision | recall | f1-score |
|---|---|---|---|
| 0 | 0.98 | 0.96 | 0.96 |
| 1 | 0.23 | 0.19 | 0.21 |
| micro avg | 0.92 | 0.92 | 0.92 |
| macro avg | 0.59 | 0.57 | 0.58 |
| weighted avg | 0.91 | 0.92 | 0.91 |
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