perfectPresentation/xlmr-phc-job

PHC Multi-Label Hierarchical Classifier (v4)

Fine-tuned XLM-RoBERTa-base on Arabic healthcare patient complaints. Predicts a 4-level PHC taxonomy code (Multi-Label) with confidence at each level.

Output heads are sized to the full PHC taxonomy (117 codes). Of these, 90 have training examples and 27 are zero-shot from the taxonomy structure only.

Taxonomy Structure

PHC  ->  L2 (service_area, 7)  ->  L3 (category, 21+)  ->  L4 (001/002/003)

| L2 — Service Area | EMD, IPS, LAB, OPC, PHA, RAD, REC | | L3 — Category | ALT, APN, CDR, COM, DAV, DIC, EMS, ENV, EPS, EQU, FAC, HSK, INS, MAC, MAS, MBR, PCC, PED, PPD, PRE, QOI, QUE, REG, SAF, SCH, SRT, SYS, TRA, TRI, TRT, TTI, VOI, WAI | | Full Code | 117 taxonomy codes |

Test Performance

Level	Exact Match Acc	F1 (macro)
L2	97.5%	0.9762
L3	92.0%	0.5487
L4	95.0%	0.6097
Full Code	88.7%	0.2483

Best val full-code exact match accuracy during training: 90.4%