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README.md

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+---
+license: apache-2.0
+pipeline_tag: token-classification
+tags:
+  - ner
+  - bio
+  - lfm2
+  - data-use
+---
+
+# lfm2.5-Encoder-350M-datause
+
+Fine-tune of `LiquidAI/LFM2.5-Encoder-350M` for BIO data-use mention tagging
+(dataset / survey / census / registry mentions in economics research papers).
+
+## Labels
+- `NAMED_DATA` — a proper name, title, or acronym of a specific data source
+- `DESCRIPTIVE_DATA` — a source described in words but not named
+- `VAGUE_DATA` — generic data wording with no identifiable source
+
+## Training
+- base model: `LiquidAI/LFM2.5-Encoder-350M`
+- dataset: `rafmacalaba/data-use-mentions` (bio config)
+- epochs: 5
+- learning rate: 2e-05
+- batch size: 16
+- precision: bf16
+
+## Evaluation (holdout, label-agnostic)
+
+| thr | tp | fp | fn | precision | recall | f0.5 | f1 |
+| --- | --- | --- | --- | --- | --- | --- | --- |
+| 0.10 | 4541 | 1064 | 2805 | 0.8102 | 0.6182 | 0.7628 | 0.7013 |
+| 0.20 | 4541 | 1064 | 2805 | 0.8102 | 0.6182 | 0.7628 | 0.7013 |
+| 0.30 | 4541 | 1063 | 2805 | 0.8103 | 0.6182 | 0.7629 | 0.7013 |
+| 0.40 | 4528 | 1058 | 2818 | 0.8106 | 0.6164 | 0.7625 | 0.7003 |
+| 0.50 | 4469 | 1006 | 2877 | 0.8163 | 0.6084 | 0.7640 | 0.6971 |
+| 0.60 | 4141 | 822 | 3205 | 0.8344 | 0.5637 | 0.7613 | 0.6728 |
+| 0.70 | 3842 | 684 | 3504 | 0.8489 | 0.5230 | 0.7548 | 0.6472 |
+
+**Best F0.5**: 0.7640 (thr=0.5)
+**Best F1**: 0.7013 (thr=0.3)
+