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deprem_satellite_semantic_xview2_large_2
SerdarHelli/deprem_satellite_semantic_xview2_large_2
deprem_satellite_semantic_xview2_large_2 is a machine learning model from SerdarHelli. 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
- Feb 18, 2023
- Updated
- Feb 18, 2023
- SHA
- c9aaa34d
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_xview2_large_2
This model is a fine-tuned version of nvidia/mit-b5 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.9892
- eval_mean_iou: 0.3093
- eval_mean_accuracy: 0.3576
- eval_overall_accuracy: 0.9646
- eval_accuracy_background: 0.9860
- eval_accuracy_nodamage: 0.8022
- eval_accuracy_minordamaged: 0.0
- eval_accuracy_majordamaged: 0.0
- eval_accuracy_destroyed: 0.0
- eval_iou_background: 0.9677
- eval_iou_nodamage: 0.5789
- eval_iou_minordamaged: 0.0
- eval_iou_majordamaged: 0.0
- eval_iou_destroyed: 0.0
- eval_runtime: 200.8095
- eval_samples_per_second: 4.646
- eval_steps_per_second: 4.646
- epoch: 19.3
- step: 27000
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- segformer
- License
- other
- Created
- Feb 18, 2023
- Updated
- Feb 18, 2023