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deprem_satellite_semantic_whu
deprem-ml/deprem_satellite_semantic_whu
deprem_satellite_semantic_whu is a machine learning model from deprem-ml. 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
- Feb 11, 2023
- Updated
- Feb 11, 2023
- SHA
- e2eab78e
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. -->
deprem_satellite_semantic_whu
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0692
- eval_mean_iou: 0.8739
- eval_mean_accuracy: 0.9277
- eval_overall_accuracy: 0.9786
- eval_accuracy_background: 0.9888
- eval_accuracy_building: 0.8665
- eval_iou_background: 0.9770
- eval_iou_building: 0.7708
- eval_runtime: 124.6705
- eval_samples_per_second: 4.011
- eval_steps_per_second: 4.011
- step: 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- segformer
- Created
- Feb 11, 2023
- Updated
- Feb 11, 2023