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Test-SegFormer_Mixed_Set2_788images_mit-b5_RGB
Hasano20/Test-SegFormer_Mixed_Set2_788images_mit-b5_RGB
Test-SegFormer_Mixed_Set2_788images_mit-b5_RGB is a machine learning model from Hasano20. Use it for the machine learning 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
- Library
- transformers
- License
- other
- Model type
- segformer
- Access
- Public
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024
- SHA
- f90538c7
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. -->
Test-SegFormer_Mixed_Set2_788images_mit-b5_RGB
This model is a fine-tuned version of nvidia/mit-b5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1661
- Mean Iou: 0.7900
- Mean Accuracy: 0.8412
- Overall Accuracy: 0.9471
- Accuracy Background: 0.9799
- Accuracy Melt: 0.5677
- Accuracy Substrate: 0.9760
- Iou Background: 0.9430
- Iou Melt: 0.4987
- Iou Substrate: 0.9285
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Melt | Accuracy Substrate | Iou Background | Iou Melt | Iou Substrate |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.1897 | 0.7042 | 50 | 0.1661 | 0.7900 | 0.8412 | 0.9471 | 0.9799 | 0.5677 | 0.9760 | 0.9430 | 0.4987 | 0.9285 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.1+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024