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chenpangpang
transformers
Commits
e2d53d95
"vscode:/vscode.git/clone" did not exist on "81d6841b4be25a164235975e5ebdcf99d7a26633"
Unverified
Commit
e2d53d95
authored
Feb 01, 2019
by
Thomas Wolf
Committed by
GitHub
Feb 01, 2019
Browse files
Merge pull request #242 from ksurya/argparse
Fix argparse type error
parents
7e0b415a
9bf52887
Changes
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examples/run_squad.py
examples/run_squad.py
+1
-1
examples/run_squad2.py
examples/run_squad2.py
+1
-1
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examples/run_squad.py
View file @
e2d53d95
...
@@ -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 "
...
...
examples/run_squad2.py
View file @
e2d53d95
...
@@ -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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