Downloads · 30 days
5
1% of all-time downloads
segformer-b0-scene-parse-150
Grizzlygg/segformer-b0-scene-parse-150
segformer-b0-scene-parse-150 is a image segmentation model from Grizzlygg. 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. --
All-time downloads
571
Public
Repo size
164 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin14.9 MB · 100%
At a glance
- Task
- Image Segmentation
- Library
- transformers
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- May 12, 2024
- Updated
- May 12, 2024
- SHA
- 626f1488
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. -->
segformer-b0-scene-parse-150
This model is a fine-tuned version of nvidia/mit-b0 on the Grizzlygg/CrownTest dataset. It achieves the following results on the evaluation set:
- Loss: 0.7268
- Mean Iou: 0.3888
- Mean Accuracy: 0.7776
- Overall Accuracy: 0.7776
- Accuracy Unlabeled: nan
- Accuracy Crown: 0.7776
- Iou Unlabeled: 0.0
- Iou Crown: 0.7776
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 Unlabeled | Accuracy Crown | Iou Unlabeled | Iou Crown |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.3303 | 10.0 | 20 | 0.6046 | 0.3722 | 0.7444 | 0.7444 | nan | 0.7444 | 0.0 | 0.7444 |
| 0.2269 | 20.0 | 40 | 0.6817 | 0.3613 | 0.7226 | 0.7226 | nan | 0.7226 | 0.0 | 0.7226 |
| 0.1893 | 30.0 | 60 | 0.7231 | 0.3717 | 0.7435 | 0.7435 | nan | 0.7435 | 0.0 | 0.7435 |
| 0.185 | 40.0 | 80 | 0.7688 | 0.3880 | 0.7760 | 0.7760 | nan | 0.7760 | 0.0 | 0.7760 |
| 0.1704 | 50.0 | 100 | 0.7268 | 0.3888 | 0.7776 | 0.7776 | nan | 0.7776 | 0.0 | 0.7776 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3
- Task
- Image Segmentation
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- May 12, 2024
- Updated
- May 12, 2024