Comments (1)
Yes, it only supports BERT for now, other models may be supported in the future.
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Related Issues (20)
- 问下loss下降的细节?从多少下降到多少?我这里从7.9下降到7.8,,感觉有问题,多谢!多谢!多谢! HOT 4
- 关于为什么 无监督训练 能学到 语义相似度信息 的原因? HOT 1
- shuffle操作怎么保证句子的位置信息 HOT 2
- 生成的句子向量表示在下游任务中的使用效果 HOT 1
- OSError:Model name '/data/ConSERT-master/chinese-roberta-wwm-ext-large' was not found in tokenizers model name list(roberta-base, roberta-large, robert-large-mnli, distilroberta-base, roberta-base-openai-detector, roberta-large-openai-detector) HOT 1
- 多卡训练 HOT 1
- 关于句子表示 HOT 1
- 本项目的系统适配问题 HOT 2
- Chinese STS Tasks 评测指标 HOT 1
- How to use the model with sentence-transformer for inference? HOT 2
- 数据增强问题 HOT 2
- 在使用unsup-consert-base.sh复现时,结果和论文中的结果差距比较大,差了约10个点
- 'BertModel' object has no attribute 'set_flag' HOT 4
- OsError when running main.py HOT 2
- 关于dropout的问题 HOT 2
- cpu ram memory leak
- AttributeError: module 'torch.distributed' has no attribute '_all_gather_base' HOT 1
- https://6a75-junzeng-uxxxm-1300734931.tcb.qcloud.la/STS-B.rar
- analysis_rep_space.py question HOT 1
- 有关the final contrastive loss L_con
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