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fix: fix loss_entropy #77

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Merged
ChenZiHong-Gavin merged 1 commit into from
Oct 29, 2025
Merged

fix: fix loss_entropy #77

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18 changes: 12 additions & 6 deletions graphgen/utils/calculate_confidence.py
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Original file line number Diff line number Diff line change
Expand Up @@ -61,8 +61,8 @@ def _normalize_yes_no(tokens: List[Token]) -> Dict[str, float]:
{"yes": 0.8, "no": 0.2}
Among them, "yes" and "yeah" are synonyms for "yes",
while "no" and "nope" are synonyms for "no".
If neither "yes" nor "no" synonyms are present, it returns:
{"yes": 0.5, "no": 0.5}
If no "yes" or "no" synonyms are present, it will be judged as uncertain.
An uncertain result will also be considered as opposite to the ground truth.
"""
yes_syno = {
# English yes synonyms
Expand Down Expand Up @@ -126,17 +126,23 @@ def _normalize_yes_no(tokens: List[Token]) -> Dict[str, float]:

yes_prob = 0.0
no_prob = 0.0
uncertain_prob = 0.0
for tok in tokens:
t = tok.text.lower().strip()
if t in yes_syno:
yes_prob += tok.prob
elif t in no_syno:
no_prob += tok.prob
else:
uncertain_prob += tok.prob

total = yes_prob + no_prob + uncertain_prob

total = yes_prob + no_prob
if total == 0:
return {"yes": 0.5, "no": 0.5}
return {"yes": yes_prob / total, "no": no_prob / total}
return {
"yes": yes_prob / total,
"no": no_prob / total,
"uncertain": uncertain_prob / total,
}


def yes_no_loss_entropy(
Expand Down