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train_rnn_parameter.json
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29 lines (29 loc) · 1.05 KB
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{
"embedding_dim": 300,
"hidden_dim": 256,
"num_layers": 1,
"dropout": 0.5,
"zoneout": 0.5,
"window": 2,
"save_prev_x": false,
"train_embedding_layer": false,
"use_gpu": true,
"epoch": 300,
"batch_size": 64,
"lr": 1e-3,
"weight_decay": 5e-4,
"max_text_length": null,
"n_folds": 10,
"train_dataset_path": "../dataset/faqs/faq_ntu_prototype_v6_train.csv",
"dev_dataset_path": "../dataset/faqs/faq_ntu_prototype_v6_dev.csv",
"use_git": true,
"result_folder_path": "runs",
"saved_model_file_path": "best_model/faq_best_model.model",
"saved_text_pipeline_file_path": "preprocessing_pipeline/text_pipeline.pkl",
"saved_label_pipeline_file_path": "preprocessing_pipeline/label_pipeline.pkl",
"train_log_folder_path": "summaries/train",
"dev_log_folder_path": "summaries/dev",
"confusion_matrix_folder_path": "summaries/confusion_matrix",
"pretrained_word_embedding_name": "glove.6B.300d",
"pretrained_word_embedding_path": "../dataset/GoogleNews-vectors-negative300.bin"
}