<filename>config.py
# -*- coding: utf-8 -*-

'''
@Author  :   Xu
 
@Software:   PyCharm
 
@File    :   config.py
 
@Time    :   2019-10-29 17:35
 
@Desc    :   domain分类超参数配置
 
'''
import pathlib
import os

basedir = str(pathlib.Path(os.path.abspath(__file__)).parent.parent.parent)

class Config():

    def __init__(self):
        self.bert_config_file = './multilingual_L-12_H-768_A-12/bert_config.json'
        self.vocab_file = './multilingual_L-12_H-768_A-12/vocab.txt'
        self.data_dir = './data/'
        # self.data_dir = '/Data/xiaobensuan/cnews/'
        self.output_dir = './output/'   # fine-tune 的输出模型
        self.init_checkpoint = './multilingual_L-12_H-768_A-12/bert_model.ckpt'
        self.pb_model_dir ='./pb/'

        self.train_checkpoint = './results'
        self.do_lower_case = True
        self.verbose_logging = False
        self.master = None
        self.version_2_with_negative = False
        self.null_score_diff_threshold = 0.0
        self.use_tpu = False
        self.tpu_name = None
        self.tpu_zone = None
        self.gcp_project = None
        self.num_tpu_cores = 8
        self.task_name = 'domain'
        self.gpu_memory_fraction = 0.8

        self.max_seq_length = 150
        self.doc_stride = 128
        self.max_query_length = 64


        self.do_train = True
        self.do_predict = False
        self.do_eval = True
        self.batch_size = 20
        self.learning_rate = 5e-5
        self.num_train_epochs = 3.0
        self.warmup_proportion = 0.1
        self.save_checkpoints_steps = 100
        self.iterations_per_loop = 1000
        self.n_best_size = 20
        self.max_answer_length = 30

<filename>config.py
# -*- coding: utf-8 -*-

'''
@Author  :   Xu
 
@Software:   PyCharm
 
@File    :   config.py
 
@Time    :   2019-10-29 17:35
 
@Desc    :   domain分类超参数配置
 
'''
import pathlib
import os

basedir = str(pathlib.Path(os.path.abspath(__file__)).parent.parent.parent)

class Config():

    def __init__(self):
        self.bert_config_file = './multilingual_L-12_H-768_A-12/bert_config.json'
        self.vocab_file = './multilingual_L-12_H-768_A-12/vocab.txt'
        self.data_dir = './data/'
        # self.data_dir = '/Data/xiaobensuan/cnews/'
        self.output_dir = './output/'   # fine-tune 的输出模型
        self.init_checkpoint = './multilingual_L-12_H-768_A-12/bert_model.ckpt'
        self.pb_model_dir ='./pb/'

        self.train_checkpoint = './results'
        self.do_lower_case = True
        self.verbose_logging = False
        self.master = None
        self.version_2_with_negative = False
        self.null_score_diff_threshold = 0.0
        self.use_tpu = False
        self.tpu_name = None
        self.tpu_zone = None
        self.gcp_project = None
        self.num_tpu_cores = 8
        self.task_name = 'domain'
        self.gpu_memory_fraction = 0.8

        self.max_seq_length = 150
        self.doc_stride = 128
        self.max_query_length = 64


        self.do_train = True
        self.do_predict = False
        self.do_eval = True
        self.batch_size = 20
        self.learning_rate = 5e-5
        self.num_train_epochs = 3.0
        self.warmup_proportion = 0.1
        self.save_checkpoints_steps = 100
        self.iterations_per_loop = 1000
        self.n_best_size = 20
        self.max_answer_length = 30

# -*- coding: utf-8 -*- @Author  :   Xu   @Software:   PyCharm   @File    :   config.py   @Time    :   2019-10-29 17:35   @Desc    :   domain分类超参数配置 # self.data_dir = '/Data/xiaobensuan/cnews/' # fine-tune 的输出模型