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PHerc.1667-iteration-5

Image Segmentation
Transformers
Safetensors
inkdetection_resnet3d
feature-extraction
vesuvius-challenge
ink-detection
herculaneum
resnet3d
u-net
3d-segmentation
volumetric-imaging
custom_code
Model card Files
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grgngl commited on
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ea8ddaa
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1 Parent(s): 1bba2e3

Fix W&B link: vesuvius-challenge/paper (was mislabeled)

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  1. README.md +1 -1
README.md CHANGED
@@ -136,7 +136,7 @@ cv2.imwrite("prediction.png", np.clip(pred * 255, 0, 255).astype(np.uint8))
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  | **Training tiles** (256×256 sub-tiles at stride 64) | **33,061** |
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  | **Final train loss (`_epoch`)** | **0.5299** |
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  | **Final train loss (`_step`, single-batch noise)** | 0.7350 |
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- | **Wandb** | [vesuvius-challenge/Nature/l2_ink5_l5infer](https://wandb.ai/Nature/l2_ink5_l5infer) |
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  | **Random seed** | 130697 |
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  | **Determinism** | `cudnn.deterministic = True`, `cudnn.benchmark = False` |
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  | **Hardware** | 1 × NVIDIA H100 80 GB; ≈ 2 h end-to-end (load + train + inference) |
 
136
  | **Training tiles** (256×256 sub-tiles at stride 64) | **33,061** |
137
  | **Final train loss (`_epoch`)** | **0.5299** |
138
  | **Final train loss (`_step`, single-batch noise)** | 0.7350 |
139
+ | **Wandb** | [vesuvius-challenge/paper/l2_ink5_l5infer](https://wandb.ai/vesuvius-challenge/paper/l2_ink5_l5infer) |
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  | **Random seed** | 130697 |
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  | **Determinism** | `cudnn.deterministic = True`, `cudnn.benchmark = False` |
142
  | **Hardware** | 1 × NVIDIA H100 80 GB; ≈ 2 h end-to-end (load + train + inference) |