forked from LeoWood/bert
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Eval_all.bat
79 lines (76 loc) · 2.32 KB
/
Eval_all.bat
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
:: from 196
python run_classifier.py^
--data_dir data/cla_cscd_2000^
--bert_config_file models/chinese_L-12_H-768_A-12/bert_config.json^
--task_name cla^
--vocab_file models/chinese_L-12_H-768_A-12/vocab.txt^
--output_dir outputs/Exp5_cla_cscd_2000^
--init_checkpoint models/chinese_L-12_H-768_A-12/bert_model.ckpt^
--max_seq_length 400^
--do_train True^
--do_predict True^
--train_batch_size 8^
--learning_rate 2e-5^
--num_train_epochs 2.0^
--gpu 1^
--cla_nums 81
python run_classifier.py^
--data_dir data/cla_cscd_3000^
--bert_config_file models/chinese_L-12_H-768_A-12/bert_config.json^
--task_name cla^
--vocab_file models/chinese_L-12_H-768_A-12/vocab.txt^
--output_dir outputs/Exp4_cla_cscd_3000^
--init_checkpoint models/chinese_L-12_H-768_A-12/bert_model.ckpt^
--max_seq_length 400^
--do_train True^
--do_predict True^
--train_batch_size 8^
--learning_rate 2e-5^
--num_train_epochs 2.0^
--gpu 1^
--cla_nums 81
python run_classifier.py^
--data_dir data/cla_cscd_3000^
--bert_config_file models/chinese_L-12_H-768_A-12/bert_config.json^
--task_name cla^
--vocab_file models/chinese_L-12_H-768_A-12/vocab.txt^
--output_dir outputs/Exp7_cla_cscd_3000_pre^
--init_checkpoint outputs/Pre2_cscd_R_128_from_bert/model.ckpt-250000^
--max_seq_length 400^
--do_train True^
--do_predict True^
--train_batch_size 8^
--learning_rate 2e-5^
--num_train_epochs 2.0^
--gpu 0^
--cla_nums 81
python run_classifier.py^
--data_dir data/cla_cscd_2000^
--bert_config_file models/chinese_L-12_H-768_A-12/bert_config.json^
--task_name cla^
--vocab_file models/chinese_L-12_H-768_A-12/vocab.txt^
--output_dir outputs/Exp8_cla_cscd_2000_pre^
--init_checkpoint outputs/Pre2_cscd_R_128_from_bert/model.ckpt-250000^
--max_seq_length 400^
--do_train True^
--do_predict True^
--train_batch_size 8^
--learning_rate 2e-5^
--num_train_epochs 2.0^
--gpu 1^
--cla_nums 81
python run_classifier.py^
--data_dir data/cla_cscd_1000^
--bert_config_file models/chinese_L-12_H-768_A-12/bert_config.json^
--task_name cla^
--vocab_file models/chinese_L-12_H-768_A-12/vocab.txt^
--output_dir outputs/Exp9_cla_cscd_1000_pre^
--init_checkpoint outputs/Pre2_cscd_R_128_from_bert/model.ckpt-250000^
--max_seq_length 400^
--do_train True^
--do_predict True^
--train_batch_size 8^
--learning_rate 2e-5^
--num_train_epochs 2.0^
--gpu 1^
--cla_nums 81