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-large-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-large-v1_wikievents
+
+A [GLiNER2](https://github.com/fastino-ai/GLiNER2) multi-task information-extraction model (entities, relations, events, and classification) fine-tuned from `fastino/gliner2-large-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-large-v1`](https://huggingface.co/fastino/gliner2-large-v1)
+- **Library:** `gliner2`
+- **Tasks:** entity, relation, event, and classification extraction
+- **Experiment:** `gliner2-large-v1_wikievents`
+
+## Training data
+
+**1** dataset used for this run. 206 training records (val: 20, test: 20).
+
+| Dataset | Task(s) | Train | Val | Test | Language | License | Source |
+|---|---|--:|--:|--:|---|---|---|
+| WikiEvents | NER + event extraction | 206 | 20 | 20 | en | see source | [link](https://github.com/raspberryice/gen-arg) |
+
+**Dataset notes**
+
+- **WikiEvents** — KAIROS-ontology event extraction co-trained with typed entity mentions; 49 event types, 57 argument roles.
+
+## Training procedure
+
+| Setting | Value |
+|---|---|
+| Trained on | 2026-07-20 |
+| Duration | 12m 8s |
+| Throughput | 10.3 samples/s |
+| Epochs | 15 |
+| Batch size | 4 (× 8 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 |
+|---|--:|--:|--:|--:|
+| entity | 0.767 → 0.803 | 0.818 → 0.857 | 0.792 → 0.829 | 1602 |
+| event_type | 1.000 → 1.000 | 0.926 → 0.926 | 0.962 → 0.962 | 122 |
+| event_trigger | 0.499 → 0.510 | 0.703 → 0.720 | 0.583 → 0.597 | 239 |
+| event_argument | 0.114 → 0.455 | 0.124 → 0.479 | 0.119 → 0.467 | 515 |
+| event | 0.342 → 0.539 | 0.394 → 0.613 | 0.366 → 0.574 | 876 |
+
+### Best checkpoint (validation)
+
+Micro precision / recall / F1, strict → relaxed.
+
+| Category | Precision | Recall | F1 | Support |
+|---|--:|--:|--:|--:|
+| entity | 0.736 → 0.789 | 0.738 → 0.792 | 0.737 → 0.790 | 2519 |
+| event_type | 1.000 → 1.000 | 0.717 → 0.717 | 0.835 → 0.835 | 276 |
+| event_trigger | 0.777 → 0.801 | 0.487 → 0.502 | 0.599 → 0.617 | 464 |
+| event_argument | 0.270 → 0.644 | 0.156 → 0.393 | 0.198 → 0.488 | 621 |
+| event | 0.614 → 0.782 | 0.383 → 0.500 | 0.472 → 0.610 | 1361 |
+
+## 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-large-v1 — see model card
+
+**Unverified — verify the upstream terms before redistribution**
+- WikiEvents (see source)
+- gliner2-large-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 (2026-07-20)._