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foot-finetune-28-jan
suncy13/foot-finetune-28-jan
foot-finetune-28-jan is a image segmentation model from suncy13. 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
- Jan 28, 2024
- Updated
- Jan 28, 2024
- SHA
- bc2b90c5
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. -->
foot-finetune-28-jan
This model is a fine-tuned version of nvidia/mit-b0 on the suncy13/FootImg dataset. It achieves the following results on the evaluation set:
- Loss: 0.1107
- Mean Iou: 0.0
- Mean Accuracy: nan
- Overall Accuracy: nan
- Accuracy Foot: nan
- Iou Foot: 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 Foot | Iou Foot |
|---|---|---|---|---|---|---|---|---|
| 0.356 | 2.0 | 20 | 0.5295 | 0.0 | nan | nan | nan | 0.0 |
| 0.2927 | 4.0 | 40 | 0.3244 | 0.0 | nan | nan | nan | 0.0 |
| 0.2511 | 6.0 | 60 | 0.2386 | 0.0 | nan | nan | nan | 0.0 |
| 0.2458 | 8.0 | 80 | 0.2305 | 0.0 | nan | nan | nan | 0.0 |
| 0.2152 | 10.0 | 100 | 0.2065 | 0.0 | nan | nan | nan | 0.0 |
| 0.1996 | 12.0 | 120 | 0.1905 | 0.0 | nan | nan | nan | 0.0 |
| 0.1878 | 14.0 | 140 | 0.1823 | 0.0 | nan | nan | nan | 0.0 |
| 0.1902 | 16.0 | 160 | 0.1743 | 0.0 | nan | nan | nan | 0.0 |
| 0.1646 | 18.0 | 180 | 0.1572 | 0.0 | nan | nan | nan | 0.0 |
| 0.1512 | 20.0 | 200 | 0.1552 | 0.0 | nan | nan | nan | 0.0 |
| 0.1438 | 22.0 | 220 | 0.1415 | 0.0 | nan | nan | nan | 0.0 |
| 0.1355 | 24.0 | 240 | 0.1424 | 0.0 | nan | nan | nan | 0.0 |
| 0.1342 | 26.0 | 260 | 0.1322 | 0.0 | nan | nan | nan | 0.0 |
| 0.1355 | 28.0 | 280 | 0.1307 | 0.0 | nan | nan | nan | 0.0 |
| 0.1198 | 30.0 | 300 | 0.1238 | 0.0 | nan | nan | nan | 0.0 |
| 0.1179 | 32.0 | 320 | 0.1229 | 0.0 | nan | nan | nan | 0.0 |
| 0.1108 | 34.0 | 340 | 0.1196 | 0.0 | nan | nan | nan | 0.0 |
| 0.1145 | 36.0 | 360 | 0.1182 | 0.0 | nan | nan | nan | 0.0 |
| 0.1097 | 38.0 | 380 | 0.1168 | 0.0 | nan | nan | nan | 0.0 |
| 0.1199 | 40.0 | 400 | 0.1164 | 0.0 | nan | nan | nan | 0.0 |
| 0.1185 | 42.0 | 420 | 0.1138 | 0.0 | nan | nan | nan | 0.0 |
| 0.1026 | 44.0 | 440 | 0.1115 | 0.0 | nan | nan | nan | 0.0 |
| 0.1039 | 46.0 | 460 | 0.1100 | 0.0 | nan | nan | nan | 0.0 |
| 0.1091 | 48.0 | 480 | 0.1107 | 0.0 | nan | nan | nan | 0.0 |
| 0.1074 | 50.0 | 500 | 0.1107 | 0.0 | nan | nan | nan | 0.0 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Image Segmentation
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- Jan 28, 2024
- Updated
- Jan 28, 2024