gliner-probe-smoke

Fine-tune of urchade/gliner_large-v2.1 for data-use mention extraction (dataset / survey / census / registry mentions in economics research papers).

Labels

  • NAMED_DATA โ€” a proper name, title, or acronym of a specific data source
  • DESCRIPTIVE_DATA โ€” a source described in words but not named
  • VAGUE_DATA โ€” generic data wording with no identifiable source

Training

  • base model: urchade/gliner_large-v2.1
  • dataset: rafmacalaba/usage-sensitivity-probe (gliner config)
  • corpus: all
  • epochs: 1
  • learning rate: 5e-06
  • batch size: 16
  • precision: bf16

Evaluation (holdout)

thr tp fp fn precision recall f0.5 f1
0.10 36 865 4 0.0400 0.9000 0.0494 0.0765
0.20 33 445 7 0.0690 0.8250 0.0845 0.1274
0.30 29 243 11 0.1066 0.7250 0.1285 0.1859
0.40 22 142 18 0.1341 0.5500 0.1580 0.2157
0.50 16 75 24 0.1758 0.4000 0.1980 0.2443
0.60 6 35 34 0.1463 0.1500 0.1471 0.1481
0.70 3 18 37 0.1429 0.0750 0.1210 0.0984

Best F0.5: 0.1980 (thr=0.5) Best F1: 0.2443 (thr=0.5)

Evaluation breakdown (holdout)

group examples spans thr precision recall f0.5 f1
overall 64 40 0.50 0.1758 0.4000 0.1980 0.2443
prwp 14 12 0.50 0.1212 0.3333 0.1389 0.1778
fcv 50 28 0.50 0.2069 0.4286 0.2308 0.2791
general_prwp 14 12 0.50 0.1212 0.3333 0.1389 0.1778
fcv_pads_east_africa 27 11 0.50 0.1481 0.3636 0.1681 0.2105
jdc_operational 6 5 0.70 1.0000 0.2000 0.5556 0.3333
refugee_pads 5 3 0.60 1.0000 0.3333 0.7143 0.5000
reliefweb 12 9 0.50 0.3077 0.4444 0.3279 0.3636

Per-label (overall)

label examples spans thr precision recall f0.5 f1
NAMED_DATA 64 9 0.60 0.1200 0.3333 0.1376 0.1765
DESCRIPTIVE_DATA 64 10 0.30 0.0149 0.1000 0.0180 0.0260
VAGUE_DATA 64 21 0.50 0.1154 0.1429 0.1200 0.1277
Origin breakdown (per-origin metrics)
origin examples spans thr precision recall f0.5 f1
fcv_pads_east_africa 27 11 0.50 0.1481 0.3636 0.1681 0.2105
general_prwp 14 12 0.50 0.1212 0.3333 0.1389 0.1778
jdc_operational 6 5 0.70 1.0000 0.2000 0.5556 0.3333
refugee_pads 5 3 0.60 1.0000 0.3333 0.7143 0.5000
reliefweb 12 9 0.50 0.3077 0.4444 0.3279 0.3636
Per-label details
label examples spans thr precision recall f0.5 f1
NAMED_DATA 64 9 0.60 0.1200 0.3333 0.1376 0.1765
DESCRIPTIVE_DATA 64 10 0.30 0.0149 0.1000 0.0180 0.0260
VAGUE_DATA 64 21 0.50 0.1154 0.1429 0.1200 0.1277
Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support