66 строки
1.4 KiB
Plaintext
66 строки
1.4 KiB
Plaintext
|
{
|
||
|
|
"app": "nl2prog",
|
||
|
|
|
||
|
|
"train_file": "wikisql_train.dat",
|
||
|
|
"dev_file": "wikisql_dev.dat",
|
||
|
|
"test_file": "wikisql_dev.dat",
|
||
|
|
"decoder_regex": "pwp(pwq)*",
|
||
|
|
"explicit_pointer": false,
|
||
|
|
"value_based_loss": "sum_vloss",
|
||
|
|
|
||
|
|
"jmt_embedding_file": "jmt_char_n_gram.txt",
|
||
|
|
"glove_embedding_file": "glove.6B.100d.txt",
|
||
|
|
|
||
|
|
"production_hyper_param": {
|
||
|
|
|
||
|
|
"X1_maxlen": 45,
|
||
|
|
"X2_maxlen": 66,
|
||
|
|
"Y_maxlen": 15,
|
||
|
|
|
||
|
|
"embedding_size": 200,
|
||
|
|
"jmt_embedding_size": 100,
|
||
|
|
"glove_embedding_size": 100,
|
||
|
|
|
||
|
|
"max_epoch": 500,
|
||
|
|
"batch_size": 200,
|
||
|
|
"n_hidden": 100,
|
||
|
|
"num_layers": 3,
|
||
|
|
"learning_rate": 0.1,
|
||
|
|
|
||
|
|
"dropout_keep_prob": 1.0,
|
||
|
|
"gradient_clip_norm": 10.0,
|
||
|
|
"gradient_noise": 0.3,
|
||
|
|
"gradient_noise_gamma": 0.55,
|
||
|
|
|
||
|
|
"encoder_merge_method": "sequential",
|
||
|
|
|
||
|
|
"num_data_used": null
|
||
|
|
},
|
||
|
|
|
||
|
|
"dev_hyper_param": {
|
||
|
|
|
||
|
|
"X1_maxlen": 15,
|
||
|
|
"X2_maxlen": 35,
|
||
|
|
"Y_maxlen": 15,
|
||
|
|
|
||
|
|
"embedding_size": 100,
|
||
|
|
"jmt_embedding_size": 100,
|
||
|
|
"glove_embedding_size": 0,
|
||
|
|
|
||
|
|
"max_epoch": 10,
|
||
|
|
"batch_size": 20,
|
||
|
|
"n_hidden": 100,
|
||
|
|
"num_layers": 3,
|
||
|
|
"learning_rate": 0.1,
|
||
|
|
|
||
|
|
"dropout_keep_prob": 0.9,
|
||
|
|
"gradient_clip_norm": 10.0,
|
||
|
|
"gradient_noise": 0.3,
|
||
|
|
"gradient_noise_gamma": 0.55,
|
||
|
|
|
||
|
|
"encoder_merge_method": "sequential",
|
||
|
|
|
||
|
|
"num_data_used": 500
|
||
|
|
}
|
||
|
|
}
|