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__name__ = "deep_reference_parser" | ||
__version__ = "2020.3.3" | ||
__version__ = "2020.4.5" | ||
__description__ = "Deep learning model for finding and parsing references" | ||
__url__ = "https://github.com/wellcometrust/deep_reference_parser" | ||
__author__ = "Wellcome Trust DataLabs Team" | ||
__author_email__ = "[email protected]" | ||
__license__ = "MIT" | ||
__splitter_model_version__ = "2020.3.6_splitting" | ||
__parser_model_version__ = "2020.3.8_parsing" | ||
__splitparser_model_version__ = "2020.3.19_multitask" | ||
__splitparser_model_version__ = "2020.4.5_multitask" |
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[DEFAULT] | ||
version = 2020.4.5_multitask | ||
description = Uses 2020.3.18 data | ||
deep_reference_parser_version = 9432b6e | ||
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[data] | ||
# Note that test and valid proportion are only used for data creation steps, | ||
# not when running the train command. | ||
test_proportion = 0.25 | ||
valid_proportion = 0.25 | ||
data_path = data/ | ||
respect_line_endings = 0 | ||
respect_doc_endings = 1 | ||
line_limit = 150 | ||
policy_train = data/processed/annotated/deep_reference_parser/multitask/2020.3.18_multitask_train.tsv | ||
policy_test = data/processed/annotated/deep_reference_parser/multitask/2020.3.18_multitask_test.tsv | ||
policy_valid = data/processed/annotated/deep_reference_parser/multitask/2020.3.18_multitask_valid.tsv | ||
s3_slug = https://datalabs-public.s3.eu-west-2.amazonaws.com/deep_reference_parser/ | ||
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[build] | ||
output_path = data/models/multitask/2020.4.5_multitask/ | ||
output = crf | ||
word_embeddings = embeddings/2020.1.1-wellcome-embeddings-300.txt | ||
pretrained_embedding = 0 | ||
dropout = 0.5 | ||
lstm_hidden = 400 | ||
word_embedding_size = 300 | ||
char_embedding_size = 100 | ||
char_embedding_type = BILSTM | ||
optimizer = adam | ||
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[train] | ||
epochs = 60 | ||
batch_size = 100 | ||
early_stopping_patience = 5 | ||
metric = val_f1 |