fix(backend): store error rate for segmentation training runs
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>
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@@ -162,11 +162,12 @@ public class OcrTrainingService {
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return Objects.requireNonNull(txTemplate.execute(status -> {
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run.setStatus(TrainingStatus.DONE);
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run.setCompletedAt(Instant.now());
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run.setCer(result.cer());
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run.setLoss(result.loss());
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run.setAccuracy(result.accuracy());
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run.setEpochs(result.epochs());
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OcrTrainingRun updated = trainingRunRepository.save(run);
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log.info("[trainingRun={}] Segmentation training completed — epochs={}", runId, result.epochs());
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log.info("[trainingRun={}] Segmentation training completed — cer={} epochs={}", runId, result.cer(), result.epochs());
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return updated;
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}));
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} catch (Exception e) {
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