ner-pt-f1-v1-qwen35-4b-specific-paramopama-seed3407
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/Qwen3.5-4B@851bf6e806efd8d0a36b00ddf55e13ccb7b8cd0a
- Regime:
specific
- Dataset(s): paramopama
- Seed:
3407
- 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_tokens constrained JSON
- Invalid-output policy: empty prediction in end-to-end scoring
Test results
| Dataset | Precision | Recall | F1 | Structural validity |
|---|
| paramopama | 0.8960 | 0.9062 | 0.9011 | 0.9996 |
Results describe only the listed frozen splits and this single seed. Cross-seed
uncertainty and comparisons between specific and unified training require completion
of the full matrix. They 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.
