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datadome-slider-b0-finetuned-segments-missing-puzzle-mar-1
bfwggggg/datadome-slider-b0-finetuned-segments-missing-puzzle-mar-1
datadome-slider-b0-finetuned-segments-missing-puzzle-mar-1 is a image segmentation model from bfwggggg. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Segmentation
- Library
- transformers
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024
- SHA
- 030913ba
Base models
Model card
From the Hugging Face model README
<!-- 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
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Missing-puzzle | Iou Missing-puzzle |
|---|---|---|---|---|---|---|---|---|
| 0.4987 | 5.0 | 20 | 0.6323 | 0.0 | nan | nan | nan | 0.0 |
| 0.388 | 10.0 | 40 | 0.4734 | 0.0 | nan | nan | nan | 0.0 |
| 0.3014 | 15.0 | 60 | 0.3631 | 0.0 | nan | nan | nan | 0.0 |
| 0.3179 | 20.0 | 80 | 0.3405 | 0.0 | nan | nan | nan | 0.0 |
| 0.2963 | 25.0 | 100 | 0.2696 | 0.0 | nan | nan | nan | 0.0 |
| 0.2458 | 30.0 | 120 | 0.2803 | 0.0 | nan | nan | nan | 0.0 |
| 0.2757 | 35.0 | 140 | 0.2635 | 0.0 | nan | nan | nan | 0.0 |
| 0.2519 | 40.0 | 160 | 0.2522 | 0.0 | nan | nan | nan | 0.0 |
| 0.2349 | 45.0 | 180 | 0.2474 | 0.0 | nan | nan | nan | 0.0 |
| 0.212 | 50.0 | 200 | 0.2458 | 0.0 | nan | nan | nan | 0.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Image Segmentation
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024