bfwggggg/datadome-slider-b0-finetuned-segments-missing-puzzle-mar-1
014
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
datadome-slider-b0-finetuned-segments-missing-puzzle-mar-1
This model is a fine-tuned version of nvidia/mit-b0 on the bfwggggg/image-with-puzzle dataset. It achieves the following results on the evaluation set:
- Loss: 0.2458
- Mean Iou: 0.0
- Mean Accuracy: nan
- Overall Accuracy: nan
- Accuracy Missing-puzzle: nan
- Iou Missing-puzzle: 0.0
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
- trainbatchsize: 2
- evalbatchsize: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- num_epochs: 50
Training results
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
