Comments (2)
请问你使用的是bert模型吗,如果是还是比较正常的,如果想继续优化,可以从训练数据加载的方向切入,至于bert那部分,我们没办法进行优化。
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请问你使用的是bert模型吗,如果是还是比较正常的,如果想继续优化,可以从训练数据加载的方向切入,至于bert那部分,我们没办法进行优化。
是的,我忘说了,用的就是BERT的模型。发现单卡跑起来比较费劲,而且发现从效果上来说还略差于用预训练的word2vec的模型,可能是我改写代码的问题。
不过项目文件结构清晰,代码也很简明,赞!
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Related Issues (20)
- 关于“ModuleNotFoundError: No module named 'bert_base.train'”报错 HOT 2
- bert_data_utils.py文件中 错误ValueError: max() arg is an empty sequence HOT 1
- 每填喂batch_size数据,embedding矩阵都重新初始化
- python 停止工作 HOT 2
- 请教:如果想训练其他实体类别,需要在data_utils里增加tag_map吗?还是只要在训练数据里增加就可以? HOT 1
- 学习率 这个地方报错了 HOT 2
- 能否将该项目配合docker+tensorflow-serving作为服务来运行? HOT 1
- 测试结果不一致
- bert运行出现问题 HOT 7
- tf.global_variables_initializer()是不是应该在init_checkpoint后面调用
- 缺少checkpoint文件
- 这是bilstm
- 预训练模型
- 1
- pip install bert-base==0.0.7 -i https://pypi.python.org/simple
- 运行结果全是0 HOT 1
- 请问model.py 356行左右的代码是什么意思 HOT 2
- 使用GPU训练时报错了,请大佬帮帮我 HOT 16
- 预测时出现首个字符被标记为cls的问题 HOT 8
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