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segformer-b0-finetuned-segments-sidewalk-oct-22
mrkprc1/segformer-b0-finetuned-segments-sidewalk-oct-22
segformer-b0-finetuned-segments-sidewalk-oct-22 is a image segmentation model from mrkprc1. 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 24, 2024
- Updated
- Jan 24, 2024
- SHA
- 1750b297
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-finetuned-segments-sidewalk-oct-22
This model is a fine-tuned version of nvidia/mit-b0 on the mrkprc1/SudokuSegmentation2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3909
- Mean Iou: 0.3084
- Mean Accuracy: 0.9142
- Overall Accuracy: 0.9142
- Accuracy Empty-cell: nan
- Accuracy Complete-cell: 0.9142
- Iou Empty-cell: 0.0
- Iou Complete-cell: 0.6169
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 Empty-cell | Accuracy Complete-cell | Iou Empty-cell | Iou Complete-cell |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.3784 | 10.0 | 20 | 0.4056 | 0.3166 | 0.9695 | 0.9695 | nan | 0.9695 | 0.0 | 0.6333 |
| 0.3037 | 20.0 | 40 | 0.4253 | 0.2816 | 0.7997 | 0.7997 | nan | 0.7997 | 0.0 | 0.5631 |
| 0.3326 | 30.0 | 60 | 0.4163 | 0.2894 | 0.8280 | 0.8280 | nan | 0.8280 | 0.0 | 0.5789 |
| 0.276 | 40.0 | 80 | 0.4037 | 0.2990 | 0.8758 | 0.8758 | nan | 0.8758 | 0.0 | 0.5979 |
| 0.2616 | 50.0 | 100 | 0.3909 | 0.3084 | 0.9142 | 0.9142 | nan | 0.9142 | 0.0 | 0.6169 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Image Segmentation
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- Jan 24, 2024
- Updated
- Jan 24, 2024