mirror of
https://github.com/wassname/Castor.git
synced 2026-09-26 13:20:14 +08:00
Salman Mohammed
4c081645a7
+ cleaned up the model code for the simple qa directory + created vocab objects for pre-loading word embeddings easily
26 lines
1.5 KiB
Python
26 lines
1.5 KiB
Python
from argparse import ArgumentParser
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def get_args():
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parser = ArgumentParser(description='Simple QA BiGRU model - Ferhan')
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parser.add_argument('--epochs', type=int, default=30)
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parser.add_argument('--batch_size', type=int, default=64)
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parser.add_argument('--d_embedding', type=int, default=300)
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parser.add_argument('--d_hidden', type=int, default=400)
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parser.add_argument('--n_layers', type=int, default=2)
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parser.add_argument('--lr', type=float, default=1e-4)
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parser.add_argument('--test', action='store_true', dest='test', help='turn on test mode; no training.')
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parser.add_argument('--not_bidirectional', action='store_false', dest='birnn')
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parser.add_argument('--clip', type=float, default=0.4, help='gradient clipping')
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parser.add_argument('--log_every', type=int, default=400)
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parser.add_argument('--dev_every', type=int, default=1000)
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parser.add_argument('--save_every', type=int, default=1000)
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parser.add_argument('--dropout_prob', type=float, default=0.3)
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parser.add_argument('--gpu', type=int, default=0)
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parser.add_argument('--seed', type=int, default=1111, help='random seed for reproducing results')
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parser.add_argument('--cuda', action='store_true', help='use CUDA')
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parser.add_argument('--device', type=int, default=0, help='GPU device to use')
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parser.add_argument('--save_path', type=str, default='saved_checkpoints')
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parser.add_argument('--resume_snapshot', type=str, default='')
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args = parser.parse_args()
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return args
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