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glacier_segmentation_transformer
glacierscopessegmentation/glacier_segmentation_transformer
glacier_segmentation_transformer is a machine learning model from glacierscopessegmentation. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- segformer
- Access
- Public
- Created
- Jul 26, 2023
- Updated
- Dec 21, 2024
- SHA
- 4eb4dcb2
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. -->
glacier_segmentation_transformer
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0488
- Mean Iou: 0.9289
- Mean Accuracy: 0.9613
- Overall Accuracy: 0.9689
- Per Category Iou: [0.9484225100312303, 0.875795429449281, 0.9626254685949275]
- Per Category Accuracy: [0.9725549195530643, 0.9263729934338871, 0.9850380570292713]
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: 0.00018
- train_batch_size: 100
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
|---|---|---|---|---|---|---|---|---|
| 0.1259 | 1.0 | 1405 | 0.0488 | 0.9289 | 0.9613 | 0.9689 | [0.9484225100312303, 0.875795429449281, 0.9626254685949275] | [0.9725549195530643, 0.9263729934338871, 0.9850380570292713] |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- Type
- segformer
- Created
- Jul 26, 2023
- Updated
- Dec 21, 2024