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View Code? Open in Web Editor NEW结合BERT+GRU+ATT模型,对自己收集的人物关系数据进行模型训练,用于人物关系抽取。
结合BERT+GRU+ATT模型,对自己收集的人物关系数据进行模型训练,用于人物关系抽取。
我已经看了您的几片关于NLP的文章。但是作为一个初学者,实践起来面对您的项目有点不知从何下手。比如训练模型怎么跑通,您有什么建议吗?
RuntimeWarning: Early stopping conditioned on metric val_accuracy
which is not available. Available metrics are: val_loss,val_acc,loss,acc
(self.monitor, ','.join(list(logs.keys()))), RuntimeWarning
TypeError: init() got an unexpected keyword argument 'session_config'
看文章,知道是用bert来提取特征,但是如何做的呢,我想学习,
还有fine tuning的方法又是如何做的呢,多谢多谢!
运行model_train.py时,会报错:module 'tensorflow' has no attribute 'logging',原因是我使用的tensorflow2.0+中没有logging,所以想请问下源文件中的tensorflow版本号
使用bert进行特征提取时,需要考虑每个词距离人物实体的相对位置吗。
您好,跑您的代码发现
model_dir = os.path.join(file_path, 'chinese_L-12_H-768_A-12')
config_name = os.path.join(model_dir, 'bert_config.json')
ckpt_name = os.path.join(model_dir, 'bert_model.ckpt')
vocab_file = os.path.join(model_dir, 'vocab.txt')
这些文件代码里面没有
I:BERT_VEC:[graph:opt:144]:write graph to a tmp file: ./tmp_graph11
Traceback (most recent call last):
File "model_predict.py", line 48, in
predicted = model.predict(x_train)
ValueError: Error when checking input: expected input_1 to have shape (128, 768) but got array with shape (80, 768)
model_trian.py文件中65行
model_dir = './models'
./models文件夹缺失
Hello,when I run you code,I meet the problem as follow,can you give me some help?Thank you very much!
line 72, in as_bytes(bytes_or_text,))
TypeError: Expected binary or unicode string, got None
pip install h5py==2.10
Hello,when I run you code,I meet the problem as follow,can you give me some help?Thank you very much!
line 72, in as_bytes(bytes_or_text,))
TypeError: Expected binary or unicode string, got None
Originally posted by @longkeyy in #9 (comment)
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