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fix(backend): store error rate for segmentation training runs

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setCer() was called for recognition training but not for segmentation.
The OCR service now returns cer = 1 - accuracy for segtrain; persist it
so the admin panel can display Fehlerrate for both training types.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Marcel
2026-04-14 13:07:39 +02:00
committed by marcel
parent f08897b801
commit b83465020a
1 changed files with 2 additions and 1 deletions
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3
backend/src/main/java/org/raddatz/familienarchiv/service/OcrTrainingService.java
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@@ -162,11 +162,12 @@ public class OcrTrainingService {
return Objects.requireNonNull(txTemplate.execute(status -> { return Objects.requireNonNull(txTemplate.execute(status -> {
run.setStatus(TrainingStatus.DONE); run.setStatus(TrainingStatus.DONE);
run.setCompletedAt(Instant.now()); run.setCompletedAt(Instant.now());
run.setCer(result.cer());
run.setLoss(result.loss()); run.setLoss(result.loss());
run.setAccuracy(result.accuracy()); run.setAccuracy(result.accuracy());
run.setEpochs(result.epochs()); run.setEpochs(result.epochs());
OcrTrainingRun updated = trainingRunRepository.save(run); OcrTrainingRun updated = trainingRunRepository.save(run);
log.info("[trainingRun={}] Segmentation training completed — epochs={}", runId, result.epochs()); log.info("[trainingRun={}] Segmentation training completed — cer={} epochs={}", runId, result.cer(), result.epochs());
return updated; return updated;
})); }));
} catch (Exception e) { } catch (Exception e) {