bert bilstm 结构

BERT-BiLSTM结构是指在BERT预训练模型的基础上，添加了一个双向LSTM层作为输出层。这种结构可以在各种下游任务中取得state-of-the-art的表现，而无需对BERT进行任务特定的结构修改。在代码中，BERT-BiLSTM的参数定义如下：

class ModelConfig:
batch_size = 2
output_size = 2
hidden_dim = 384
n_layers = 2
lr = 2e-5
bidirectional = True
epochs = 10
print_every = 10
clip = 5
use_cuda = USE_CUDA
bert_path = 'bert-base-chinese'
save_path = 'bert_bilstm.pth'[2]

如果您希望获取BERT-BiLSTM的代码和模型，您可以点击以下链接进行下载：<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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