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README.md

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+# NTILC Normal Prototype-CE v0.1.0
+
+NTILC tool-embedding checkpoint prepared for `OpenToolEmbeddings/ntilc-normal-prototype-ce-v0-1-0`.
+
+## Variant
+
+- Architecture: `normal`
+- Loss: `prototype_ce`
+- Encoder: `sentence-transformers/all-MiniLM-L6-v2`
+- Embedding dimension: `128`
+- Dataset version: `oss-qwen3.5-27b-26tools-312queries-v0.1.0`
+- Synthetic generator: `Qwen/Qwen3.5-27B`
+- Tool count: `26`
+- Query count: `312`
+- Checkpoint SHA256: `3077554cde03c765a9262f04f54630304fad06fee1e9bb21d76ceb2bdd75ae06`
+
+## Files
+
+- `best.pt`: best validation checkpoint bundle
+- `metrics.json`: per-epoch training and validation metrics
+
+## Usage
+
+These are NTILC checkpoint bundles, not plain `transformers` repositories. Load them with the local helper below.
+
+```python
+from training import load_checkpoint_bundle
+
+bundle = load_checkpoint_bundle("best.pt", device="cpu")
+print(bundle["architecture"], bundle["loss_name"], len(bundle["tool_names"]))
+```
+
+## Metrics
+
+- `epochs`: `25`
+- `best_epoch`: `18`
+- `tool_count`: `26`
+- `query_count`: `312`
+- `best_val_retrieval_accuracy`: `0.8269`
+- `best_val_classification_accuracy`: `0.75`
+- `silhouette_score`: `0.111`