roadwork-v1 / README.md
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metadata
license: mit
tags:
  - image-classification
  - vit
  - bittensor-sn72
  - roadwork
base_model: natix-network-org/roadwork

Roadwork classifier (fine-tuned for Bittensor SN72)

Fine-tuned from natix-network-org/roadwork against the validator augmentation pipeline in natix/utils/image_transforms.py (rotation/flips/JPEG/blur/noise/color distortions).

Training

  • 4 epochs, AdamW lr=2e-5 cosine schedule, class weights for the 4:1 label imbalance
  • Filter rule from validator's image cache applied to keep only consistent (description, label) pairs

Eval (augmented test set, 2,263 examples)

Metric Baseline This model Cubic reward gain
Accuracy 0.9633 0.9806
MCC 0.8888
Reward proxy 0.8564 0.9347 +30.0%