yidong infer init

0e29b9b7 · xuxo · 0e29b9b7 · 0e29b9b7 · 0e29b9b7 · 0e29b9b7
Commit 0e29b9b7 authored Jan 20, 2026 by xuxo
20 changed files
--- a/bert/bert4torch_cmcc/examples/relation_extraction/task_relation_extraction_CasRel.py
+++ b/bert/bert4torch_cmcc/examples/relation_extraction/task_relation_extraction_CasRel.py
--- a/bert/bert4torch_cmcc/examples/relation_extraction/task_relation_extraction_gplinker.py
+++ b/bert/bert4torch_cmcc/examples/relation_extraction/task_relation_extraction_gplinker.py
--- a/bert/bert4torch_cmcc/examples/relation_extraction/task_relation_extraction_tplinker.py
+++ b/bert/bert4torch_cmcc/examples/relation_extraction/task_relation_extraction_tplinker.py
--- a/bert/bert4torch_cmcc/examples/relation_extraction/task_relation_extraction_tplinker_plus.py
+++ b/bert/bert4torch_cmcc/examples/relation_extraction/task_relation_extraction_tplinker_plus.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/Sohu_2022_ABSA/README.md
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/Sohu_2022_ABSA/README.md
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/Sohu_2022_ABSA/baseline/data_processing.ipynb
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/Sohu_2022_ABSA/baseline/data_processing.ipynb
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/Sohu_2022_ABSA/baseline/task_sentiment_sohu.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/Sohu_2022_ABSA/baseline/task_sentiment_sohu.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/Sohu_2022_ABSA/top1/training.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/Sohu_2022_ABSA/top1/training.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/Sohu_2022_ABSA/top1/training_bert.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/Sohu_2022_ABSA/top1/training_bert.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/Tianchi_News_Classification/README.md
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/Tianchi_News_Classification/README.md
+# 天池新闻分类
+比赛链接：https://tianchi.aliyun.com/competition/entrance/531810/introduction?lang=zh-cn
+
+| 解决方案 | 说明 | 指标 |
+| ---- | ---- | ---- |
+| Top1 | [Github](https://github.com/kangyishuai/NEWS-TEXT-CLASSIFICATION)| 正式赛f1=0.9735 |
+| Top1复现 | bert以第1折交叉epoch=5初始化，1个epoch，seed=0, 1993, 2020三者融合 | 长期赛f1=0.9736 |
+| Top1_bert4torch复现 | bert+attn+fgm+cv | 长期赛f1=0.9727, dev_5cv=(0.97083, 0.97074, 0.96914, 0.96892, 0.96613)|
+
+## 文件说明
+- convert.py: 将上述链接中的tensorflow权重转为pytorch的
+- training.py: finetune训练代码
\ No newline at end of file
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/Tianchi_News_Classification/convert.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/Tianchi_News_Classification/convert.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/Tianchi_News_Classification/inference.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/Tianchi_News_Classification/inference.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/Tianchi_News_Classification/training.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/Tianchi_News_Classification/training.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentence_similarity_lcqmc.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentence_similarity_lcqmc.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification_GAU_alpha.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification_GAU_alpha.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification_PET.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification_PET.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification_P_tuning.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification_P_tuning.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification_albert.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification_albert.py
--- a/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification_electra.py
+++ b/bert/bert4torch_cmcc/examples/sentence_classfication/task_sentiment_classification_electra.py