This model is a fine-tuned version of nvidia/mit-b5 on the rishitunu/ecc_crackdetector dataset.
It achieves the following results on the evaluation set:
Loss: 0.0351
Mean Iou: 0.9171
Mean Accuracy: 0.8041
Overall Accuracy: 0.8041
Accuracy Background: nan
Accuracy Crack: 0.8041
Iou Background: 0.0
Iou Crack: 0.9171
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 6e-05
train_batch_size: 2
eval_batch_size: 2
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
