README.md

NTILC Normal Contrastive v0.1.0

NTILC tool-embedding checkpoint prepared for OpenToolEmbeddings/ntilc-normal-contrastive-v0-1-0.

Variant

• Architecture: normal
• Loss: contrastive
• 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: 00523d995468866ebdc51f23e7f5ed2f12fce8e09437272393c049aee6b98ef8

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.

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: 25
• tool_count: 26
• query_count: 312
• best_val_retrieval_accuracy: 0.7692
• best_val_classification_accuracy: 0.8077
• silhouette_score: 0.1581