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README.md

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+---
+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% |

config.json

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+{
+  "_name_or_path": "natix-network-org/roadwork",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "None",
+    "1": "Roadwork"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "None": 0,
+    "Roadwork": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2"
+}

eval_baseline.json

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+{
+  "acc": 0.9633230225364561,
+  "mcc": 0.7494988404245919,
+  "f1": 0.9802615933412604,
+  "reward_proxy": 0.8564109314805239
+}

eval_final.json

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+{
+  "acc": 0.9805567830313743,
+  "mcc": 0.8888310837478142,
+  "f1": 0.9892630551488532,
+  "reward_proxy": 0.9346939333895943
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:04fa4d4b5e09746ada5412c7641f0bfa8aa619c0a829756905ce10a40f3355c7
+size 343223968

preprocessor_config.json

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+{
+  "crop_size": null,
+  "default_to_square": true,
+  "do_center_crop": null,
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessorFast",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}