rafmacalaba
/

lfm2.5-350M-datause-prwp

@@ -1,207 +1,72 @@
 ---
-base_model: LiquidAI/LFM2.5-350M
-library_name: peft
 pipeline_tag: text-generation
 tags:
-- base_model:adapter:LiquidAI/LFM2.5-350M
-- lora
-- transformers
 ---
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-### Framework versions
-- PEFT 0.20.0

 ---
+license: apache-2.0
 pipeline_tag: text-generation
 tags:
+  - lfm2
+  - data-use
+  - data-mentions
+  - extraction
+  - sft
+  - lora
 ---
+# lfm2.5-350M-datause-prwp
+LoRA SFT of `LiquidAI/LFM2.5-350M` for data-mention extraction: emit the
+data-bearing phrases in a text as compact JSON
+(`data_mentions` with `data_mention`/`specificity_type`).
+## Training
+- base model: `LiquidAI/LFM2.5-350M`
+- dataset: `rafmacalaba/data-use-mention-sft`
+- epochs: 3
+- learning rate: 0.0002
+- LoRA: r=16 alpha=32 dropout=0.05
+- completion-only masking (loss on assistant JSON turn)
+## Evaluation (holdout, n=9079)
+Jaccard entity-level matching: acronym-aware span clustering +
+Hungarian optimal bipartite match (match thr=0.5), F0.5
+primary. Aligned with `rafmacalaba/gliner_datause_extended`. The
+holdout is `rafmacalaba/data-use-mention-sft`, so numbers are **not
+directly comparable** to the GLiNER model's `data-use-mentions-extended`
+holdout.
+| label | tp | fp | fn | precision | recall | f0.5 | f1 |
+| --- | --- | --- | --- | --- | --- | --- | --- |
+| **overall** | 9888 | 2537 | 2414 | 0.7958 | 0.8038 | 0.7974 | 0.7998 |
+## Per-label
+| label | tp | fp | fn | precision | recall | f0.5 | f1 |
+| --- | --- | --- | --- | --- | --- | --- | --- |
+| descriptive | 4034 | 1930 | 1762 | 0.6764 | 0.6960 | 0.6802 | 0.6861 |
+| named | 4183 | 1281 | 1175 | 0.7656 | 0.7807 | 0.7685 | 0.7731 |
+| vague | 488 | 539 | 662 | 0.4752 | 0.4243 | 0.4641 | 0.4483 |
+## Per-corpus
+| label | tp | fp | fn | precision | recall | f0.5 | f1 |
+| --- | --- | --- | --- | --- | --- | --- | --- |
+| prwp | 9888 | 2537 | 2414 | 0.7958 | 0.8038 | 0.7974 | 0.7998 |
+## Per-origin
+| label | tp | fp | fn | precision | recall | f0.5 | f1 |
+| --- | --- | --- | --- | --- | --- | --- | --- |
+| general_prwp | 9888 | 2537 | 2414 | 0.7958 | 0.8038 | 0.7974 | 0.7998 |
+## Sample predictions (holdout)
+| gold | predicted |
+| --- | --- |
+| {"data_mentions":[{"data_mention":"administrative data","specificity_type":"descriptive"}]} | {"data_mentions":[{"data_mention":"administrative data","specificity_type":"descriptive"}]} |
+| {"data_mentions":[{"data_mention":"World Development Indicators","specificity_type":"named"},{"data_mention":"CPHS","spe | {"data_mentions":[{"data_mention":"World Development Indicators","specificity_type":"named"},{"data_mention":"CPHS","spe |
+| {"data_mentions":[{"data_mention":"ES data","specificity_type":"named"}]} | {"data_mentions":[{"data_mention":"ES data","specificity_type":"named"}]} |
+| {"data_mentions":[]} | {"data_mentions":[{"data_mention":"EUROMOD I4.0+","specificity_type":"named"}]} |
+| {"data_mentions":[{"data_mention":"World Development Indicators","specificity_type":"named"},{"data_mention":"IMF World  | {"data_mentions":[{"data_mention":"World Development Indicators","specificity_type":"named"},{"data_mention":"IMF World  |
+| {"data_mentions":[]} | {"data_mentions":[]} |
+| {"data_mentions":[{"data_mention":"UNESCO-provided data","specificity_type":"descriptive"}]} | {"data_mentions":[{"data_mention":"PIRLS","specificity_type":"named"},{"data_mention":"UNESCO-provided data","specificit |
+| {"data_mentions":[{"data_mention":"IHPS dataset","specificity_type":"named"},{"data_mention":"IHS4 data","specificity_ty | {"data_mentions":[{"data_mention":"IHS4 dataset","specificity_type":"named"},{"data_mention":"IHS4 data","specificity_ty |
+| {"data_mentions":[{"data_mention":"HFSSS","specificity_type":"named"}]} | {"data_mentions":[{"data_mention":"HFSSS","specificity_type":"named"}]} |
+| {"data_mentions":[{"data_mention":"HFCS data","specificity_type":"named"}]} | {"data_mentions":[{"data_mention":"HFCS data","specificity_type":"named"}]} |
+| {"data_mentions":[{"data_mention":"data on patents and publications","specificity_type":"descriptive"}]} | {"data_mentions":[{"data_mention":"data on patents and publications","specificity_type":"descriptive"}]} |
+| {"data_mentions":[{"data_mention":"UN COMTRADE Statistics","specificity_type":"named"}]} | {"data_mentions":[{"data_mention":"UN COMTRADE Statistics","specificity_type":"named"}]} |