ner-pt-f1-v1-qwen35-0-8b-specific-paramopama-seed42
LoRA adapter for generative named-entity recognition in Portuguese. This artifact is
one run of the ner-pt-generative-2026-f1-v1 research matrix.
Run configuration
- Base model:
Qwen/Qwen3.5-0.8B@2fc06364715b967f1860aea9cf38778875588b17 - Regime:
specific - Dataset: paramopama
- Seed:
42 - Precision: BF16 training with LoRA
- Checkpoint selection: validation end-to-end F1; the test split was not used for selection
- Canonical inference: vLLM, temperature 0,
labels_and_tokensconstrained JSON - Invalid-output policy: empty prediction in end-to-end scoring
Test results
| Dataset | Precision | Recall | F1 | Structural validity |
|---|---|---|---|---|
| paramopama | 0.8841 | 0.8875 | 0.8858 | 0.9984 |
Results describe only the listed frozen splits and this single seed. Cross-seed uncertainty requires completion of the full three-seed matrix. Results must not be interpreted as evidence of general performance outside these corpora.
Artifacts and reproducibility
The repository root contains the LoRA adapter. research/ contains frozen
predictions, normal and decontaminated metrics, schema ablations, inference
contracts, the run manifest, hashes, and checkpoint-selection evidence.
Load this adapter with PEFT on the exact base-model revision above. Reproduce the
documented protocol with BF16-capable hardware and the versions recorded in
research/manifest.json.
Intended use and limitations
Intended for Portuguese NER research, evaluation, and controlled downstream experimentation. Generated spans can be structurally valid yet semantically wrong. Corpus annotation schemes differ, text overlap may affect estimates, and this model has not been validated for high-stakes or autonomous decisions. Users must review dataset licenses and evaluate errors in their target domain.