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https://github.com/wassname/Castor.git
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Ashutosh-Adhikari
650882fb6e
* Add Reuters option in common.dataset * Add Reuters option in common.dataset * Add HAN model * Add XML-CNN * Add HAN * Add Hierarchical tokenization for Reuters * Add README for HAN * Add XML Readme * Update HAN Readme
44 lines
2.5 KiB
Python
44 lines
2.5 KiB
Python
import os
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from argparse import ArgumentParser
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def get_args():
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parser = ArgumentParser(description="Kim CNN")
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parser.add_argument('--no_cuda', action='store_false', help='do not use cuda', dest='cuda')
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parser.add_argument('--gpu', type=int, default=0) # Use -1 for CPU
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parser.add_argument('--epochs', type=int, default=30)
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parser.add_argument('--batch_size', type=int, default=1024)
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parser.add_argument('--mode', type=str, default='multichannel', choices=['rand', 'static', 'non-static', 'multichannel'])
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parser.add_argument('--lr', type=float, default=1.0)
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parser.add_argument('--seed', type=int, default=3435)
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parser.add_argument('--dataset', type=str, default='SST-1', choices=['SST-1', 'SST-2', 'Reuters'])
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parser.add_argument('--resume_snapshot', type=str, default=None)
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parser.add_argument('--dev_every', type=int, default=30)
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parser.add_argument('--log_every', type=int, default=10)
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parser.add_argument('--patience', type=int, default=50)
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parser.add_argument('--save_path', type=str, default='kim_cnn/saves')
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parser.add_argument('--output_channel', type=int, default=100)
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parser.add_argument('--words_dim', type=int, default=300)
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parser.add_argument('--embed_dim', type=int, default=300)
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parser.add_argument('--dropout', type=float, default=0.5)
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parser.add_argument('--epoch_decay', type=int, default=15)
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parser.add_argument('--num_bottleneck_hidden', type=int, default=512) #bottleneck layer
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parser.add_argument('--dynamic_pool_length', type=int, default=32) #dynamic pool length
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parser.add_argument('--data_dir', help='word vectors directory',
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default=os.path.join(os.pardir, 'Castor-data', 'datasets'))
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parser.add_argument('--word_vectors_dir', help='word vectors directory',
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default=os.path.join(os.pardir, 'Castor-data', 'embeddings', 'word2vec'))
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parser.add_argument('--word_vectors_file', help='word vectors filename', default='GoogleNews-vectors-negative300.txt')
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parser.add_argument('--trained_model', type=str, default="")
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parser.add_argument('--weight_decay', type=float, default=0)
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parser.add_argument('--onnx', action='store_true', default=False, help='Export model in ONNX format')
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parser.add_argument('--onnx_batch_size', type=int, default=1024, help='Batch size for ONNX export')
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parser.add_argument('--onnx_sent_len', type=int, default=32, help='Sentence length for ONNX export')
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args = parser.parse_args()
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return args
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