intent_acc = 0.888 loss = 0.4982787650078535 2. 预测流程 在命令行输入 python bert_finetune_cls/predict.py --input_file bert_finetune_cls/data/atis/test/seq.in --output_file bert_finetune_cls/experiments/outputs/clsbert_0/atis_test_predicted.txt --model_dir bert_finetune_cls/expe...
| | Train | Dev | Labels | | --- | --- | --- | --- | --- | --- | | MRPC | 4076 | 1725 |2 | 我们这一节使用mrpc数据,数据集由训练集、验证集组成 mrpc.txt文件:每一行是一个文本,分别包括标签、文本等 intent_label.txt文件:每一行一个意图标签,一共有两个,分别表示...
slots[slot_name] += text[i] else: slots[slot_name] = text[i] return slots class InputExample(object): def __init__(self, guid, text, domain=None, intent=None, slots=None): self.guid = guid self.text = text self.slots = slots self.domain = domain self.intent =...
在开始训练我们自己fine-tune的BERT后,我们可以再来看看BERT代码里除了processor之外的一些部分。 我们可以发现,process在得到字符串形式的输入后,在file_based_convert_examples_to_features里先是对字符串长度,加入[CLS]和[SEP]等一些处理后,将其写入成TFrecord的形式。这是为了能在estimator里有一个更为高效和简易的...
使用HTTPS 协议时,命令行会出现如下账号密码验证步骤。基于安全考虑,Gitee 建议配置并使用私人令牌替代登录密码进行克隆、推送等操作 Username for 'https://gitee.com': userName Password for 'https://userName@gitee.com':#私人令牌 分支1 标签0 undefined ...
# The following addition is made by Al Gharakhanian and the intent is to artificially # add tokens picked from the previous sentences. The goal is to see if this improves # the performance.if FLAGS.enable_insertions: for num_insertions in range(FLAGS.num_of_insertions): ...
"intent":7848,"##mar":7849,"coaches":7850,"describing":7851,"bread":7852,"##ington":7853,"beaten":7854,"northwestern":7855,"##ona":7856,"merit":7857,"youtube":7858,"collapse":7859,"challenges":7860,"em":7861,"historians":7862,"objective":7863,"submitted":7864,"virus":7865,"...