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chenpangpang
transformers
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d4796653
Unverified
Commit
d4796653
authored
Mar 12, 2024
by
Joao Gante
Committed by
GitHub
Mar 12, 2024
Browse files
Examples: check `max_position_embeddings` in the translation example (#29600)
check max_position_embeddings
parent
6b660d5e
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examples/pytorch/translation/run_translation.py
examples/pytorch/translation/run_translation.py
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examples/pytorch/translation/run_translation.py
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d4796653
...
...
@@ -469,6 +469,19 @@ def main():
source_lang
=
data_args
.
source_lang
.
split
(
"_"
)[
0
]
target_lang
=
data_args
.
target_lang
.
split
(
"_"
)[
0
]
# Check the whether the source target length fits in the model, if it has absolute positional embeddings
if
(
hasattr
(
model
.
config
,
"max_position_embeddings"
)
and
not
hasattr
(
model
.
config
,
"relative_attention_max_distance"
)
and
model
.
config
.
max_position_embeddings
<
data_args
.
max_source_length
):
raise
ValueError
(
f
"`--max_source_length` is set to
{
data_args
.
max_source_length
}
, but the model only has"
f
"
{
model
.
config
.
max_position_embeddings
}
position encodings. Consider either reducing"
f
" `--max_source_length` to
{
model
.
config
.
max_position_embeddings
}
or using a model with larger position "
"embeddings"
)
# Temporarily set max_target_length for training.
max_target_length
=
data_args
.
max_target_length
padding
=
"max_length"
if
data_args
.
pad_to_max_length
else
False
...
...
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