Unverified Commit e2d53d95 authored by Thomas Wolf's avatar Thomas Wolf Committed by GitHub
Browse files

Merge pull request #242 from ksurya/argparse

Fix argparse type error
parents 7e0b415a 9bf52887
...@@ -706,7 +706,7 @@ def main(): ...@@ -706,7 +706,7 @@ def main():
parser.add_argument("--num_train_epochs", default=3.0, type=float, parser.add_argument("--num_train_epochs", default=3.0, type=float,
help="Total number of training epochs to perform.") help="Total number of training epochs to perform.")
parser.add_argument("--warmup_proportion", default=0.1, type=float, parser.add_argument("--warmup_proportion", default=0.1, type=float,
help="Proportion of training to perform linear learning rate warmup for. E.g., 0.1 = 10% " help="Proportion of training to perform linear learning rate warmup for. E.g., 0.1 = 10%% "
"of training.") "of training.")
parser.add_argument("--n_best_size", default=20, type=int, parser.add_argument("--n_best_size", default=20, type=int,
help="The total number of n-best predictions to generate in the nbest_predictions.json " help="The total number of n-best predictions to generate in the nbest_predictions.json "
......
...@@ -794,7 +794,7 @@ def main(): ...@@ -794,7 +794,7 @@ def main():
parser.add_argument("--num_train_epochs", default=3.0, type=float, parser.add_argument("--num_train_epochs", default=3.0, type=float,
help="Total number of training epochs to perform.") help="Total number of training epochs to perform.")
parser.add_argument("--warmup_proportion", default=0.1, type=float, parser.add_argument("--warmup_proportion", default=0.1, type=float,
help="Proportion of training to perform linear learning rate warmup for. E.g., 0.1 = 10% " help="Proportion of training to perform linear learning rate warmup for. E.g., 0.1 = 10%% "
"of training.") "of training.")
parser.add_argument("--n_best_size", default=20, type=int, parser.add_argument("--n_best_size", default=20, type=int,
help="The total number of n-best predictions to generate in the nbest_predictions.json " help="The total number of n-best predictions to generate in the nbest_predictions.json "
......
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