Add model card as README

README.md

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+---
+library_name: gliner2
+license: other
+license_name: unverified-review-required
+base_model: fastino/gliner2-base-v1
+language:
+  - en
+tags:
+  - gliner2
+  - information-extraction
+  - named-entity-recognition
+  - relation-extraction
+  - event-extraction
+  - text-classification
+metrics:
+  - f1
+  - precision
+  - recall
+pipeline_tag: token-classification
+---
+
+# gliner2-base-v1_rams
+
+A [GLiNER2](https://github.com/fastino-ai/GLiNER2) multi-task information-extraction model (entities, relations, events, and classification) fine-tuned from `fastino/gliner2-base-v1`.
+
+## ⚠️ License at a glance
+
+- **Effective license:** Unverified — review required
+- **Commercial use:** Unverified
+- **All dataset licenses verified:** No
+
+See [License](#license) for the full determination and per-dataset terms.
+
+## Model details
+
+- **Base model:** [`fastino/gliner2-base-v1`](https://huggingface.co/fastino/gliner2-base-v1)
+- **Library:** `gliner2`
+- **Tasks:** entity, relation, event, and classification extraction
+- **Experiment:** `gliner2-base-v1_rams`
+
+## Training data
+
+**1** dataset used for this run. 7,329 training records (val: 924, test: 871).
+
+| Dataset | Task(s) | Train | Val | Test | Language | License | Source |
+|---|---|--:|--:|--:|---|---|---|
+| RAMS | Event extraction (trigger + args) | 7,329 | 924 | 871 | en | see source | [link](https://nlp.jhu.edu/rams/) |
+
+**Dataset notes**
+
+- **RAMS** — Multi-sentence event extraction with triggers and typed arguments; 139 event types, 65 argument roles.
+
+## Training procedure
+
+| Setting | Value |
+|---|---|
+| Trained on | 2026-07-19 |
+| Duration | 28m 48s |
+| Throughput | 63.6 samples/s |
+| Epochs | 15 |
+| Batch size | 16 (× 2 grad-accum) |
+| Encoder LR | 1e-05 |
+| Task-head LR | 0.0003 |
+| Weight decay | 0.01 |
+| Scheduler | cosine_restarts (warmup 0.05) |
+| Precision | bf16 |
+| Max grad norm | 1.0 |
+| Best-checkpoint metric | eval_event_strict_micro_f1 |
+| Seed | 42 |
+
+## Evaluation
+
+Decision threshold: **0.5** (config default).
+
+### Blind test (held-out test splits)
+
+Micro precision / recall / F1, strict → relaxed.
+
+| Category | Precision | Recall | F1 | Support |
+|---|--:|--:|--:|--:|
+| event_type | 1.000 → 1.000 | 0.986 → 0.986 | 0.993 → 0.993 | 848 |
+| event_trigger | 0.927 → 0.929 | 0.943 → 0.946 | 0.935 → 0.937 | 848 |
+| event_argument | 0.468 → 0.695 | 0.457 → 0.678 | 0.462 → 0.686 | 2016 |
+| event | 0.697 → 0.819 | 0.689 → 0.810 | 0.693 → 0.814 | 3712 |
+
+### Best checkpoint (validation)
+
+Micro precision / recall / F1, strict → relaxed.
+
+| Category | Precision | Recall | F1 | Support |
+|---|--:|--:|--:|--:|
+| event_type | 1.000 → 1.000 | 0.987 → 0.987 | 0.993 → 0.993 | 896 |
+| event_trigger | 0.908 → 0.918 | 0.930 → 0.940 | 0.919 → 0.929 | 896 |
+| event_argument | 0.422 → 0.677 | 0.396 → 0.634 | 0.408 → 0.655 | 2182 |
+| event | 0.671 → 0.809 | 0.649 → 0.782 | 0.660 → 0.795 | 3974 |
+
+## License
+
+**Effective license: Unverified — review required.** This model is a derivative of its base model and every training dataset, so the most restrictive term across all of them governs the whole model.
+
+- **Commercial use:** Unverified
+- **Share-alike obligation:** No
+- **All licenses verified:** No
+- **Base model:** gliner2-base-v1 — see model card
+
+**Unverified — verify the upstream terms before redistribution**
+- RAMS (see source)
+- gliner2-base-v1 (see model card)
+
+> License strings are copied verbatim from each dataset's card/source and from `tools/train/dataset_registry.yaml`. "see card"/"see source"/"other" mean the upstream declares no clear license — treat as unverified. This summary is informational, not legal advice; confirm terms before redistribution or commercial use.
+
+## Citation
+
+If you use this model, please cite GLiNER2 and the underlying datasets (linked in [Training data](#training-data)).
+
+---
+_Model card generated automatically at the end of training (2026-07-19)._