Downloads · 30 days
6
15% of all-time downloads
segformer-b0-mars-testbed-4class
Tani04/segformer-b0-mars-testbed-4class
segformer-b0-mars-testbed-4class is a image segmentation model from Tani04. 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
40
Public
Parameters
3.7M
14.9 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors14.9 MB · 100%
At a glance
- Task
- Image Segmentation
- Library
- transformers
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- May 14, 2026
- Updated
- May 14, 2026
- SHA
- 5e585918
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. -->
segformer-b0-mars-testbed-4class
This model is a fine-tuned version of nvidia/mit-b0 on the Tani04/mars_testbed_terrain dataset. It achieves the following results on the evaluation set:
- Loss: 0.6859
- Mean Iou: 0.2495
- Mean Accuracy: 0.9980
- Overall Accuracy: 0.9980
- Accuracy Flat Bedrock: 0.9980
- Accuracy Flat Gravel: nan
- Accuracy Hard Gravel: nan
- Accuracy Obstacle: nan
- Iou Flat Bedrock: 0.9980
- Iou Flat Gravel: 0.0
- Iou Hard Gravel: 0.0
- Iou Obstacle: 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Flat Bedrock | Accuracy Flat Gravel | Accuracy Hard Gravel | Accuracy Obstacle | Iou Flat Bedrock | Iou Flat Gravel | Iou Hard Gravel | Iou Obstacle |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.2007 | 2.5 | 20 | 1.2885 | 0.2131 | 0.8524 | 0.8524 | 0.8524 | nan | nan | nan | 0.8524 | 0.0 | 0.0 | 0.0 |
| 1.0165 | 5.0 | 40 | 0.9504 | 0.2466 | 0.9863 | 0.9863 | 0.9863 | nan | nan | nan | 0.9863 | 0.0 | 0.0 | 0.0 |
| 0.8832 | 7.5 | 60 | 0.7721 | 0.2473 | 0.9890 | 0.9890 | 0.9890 | nan | nan | nan | 0.9890 | 0.0 | 0.0 | 0.0 |
| 0.7765 | 10.0 | 80 | 0.7240 | 0.2488 | 0.9950 | 0.9950 | 0.9950 | nan | nan | nan | 0.9950 | 0.0 | 0.0 | 0.0 |
| 0.7693 | 12.5 | 100 | 0.6920 | 0.2489 | 0.9957 | 0.9957 | 0.9957 | nan | nan | nan | 0.9957 | 0.0 | 0.0 | 0.0 |
| 0.7011 | 15.0 | 120 | 0.6859 | 0.2495 | 0.9980 | 0.9980 | 0.9980 | nan | nan | nan | 0.9980 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Image Segmentation
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- May 14, 2026
- Updated
- May 14, 2026