svercoutere/testing-auto-training-model

testing-auto-training-model

Fine-tuned multi-label codelist classifier based on svercoutere/robbert-2023-dutch-base-abb.

Labels (4)

• —A1.1
• —A1.2
• —A1.7
• —A2

Held-out evaluation

• —macro_average_precision: 0.8964
• —mean_brier_score: 0.0323
• —macro_f1: 0.8511
• —micro_f1: 0.8764
• —weighted_f1: 0.8760
• —macro_precision: 0.8414
• —macro_recall: 0.8623
• —micro_precision: 0.8623
• —micro_recall: 0.8909
• —subset_accuracy: 0.8773
• —hamming_loss: 0.0351

Validation global threshold: 0.8000. Per-label thresholds are stored in threshold.json.