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[Fix] label_list not being set for NLP token classification training if distillation teacher and student labels do not match #1414

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merged 4 commits into from
Mar 4, 2023
Merged

[Fix] label_list not being set for NLP token classification training if distillation teacher and student labels do not match #1414

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f7508fe
[Fix] Fix label_list not being set for NLP token classification train…
markurtz Mar 2, 2023
8981bdc
Added two fixes: omitting the labels/indices matching for student/tea…
dbogunowicz Mar 3, 2023
8ed6cf2
revert previous int label patch - allow int labels to let given datas…
bfineran Mar 3, 2023
cbdc685
only override label_list when teacher and student labels sets are equal
bfineran Mar 3, 2023
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17 changes: 16 additions & 1 deletion src/sparseml/transformers/token_classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -382,7 +382,7 @@ def main(**kwargs):
},
)

if teacher:
if teacher and not isinstance(teacher, str):
# check whether teacher and student have the corresponding outputs
label_to_id, label_list = _check_teacher_student_outputs(teacher, label_to_id)

Expand Down Expand Up @@ -597,6 +597,21 @@ def _check_teacher_student_outputs(
f"student labels {student_labels}. Ignore this warning "
"if this is expected behavior."
)
is_teacher_label_str = isinstance(teacher_labels[0], str)
is_student_label_str = isinstance(student_labels[0], str)

if is_teacher_label_str and not is_student_label_str:
# If the teacher labels are strings and the student labels are ints,
# we will assume that the teacher labels are the correct labels.
label_list = teacher_labels
models_labels_to_use = "teacher"
else:
label_list = student_labels
models_labels_to_use = "student"
_LOGGER.warning(
"From this point forward, the "
f"{models_labels_to_use}'s labels will be used."
)
else:
if student_ids != teacher_ids:
_LOGGER.warning(
Expand Down