segformer-b0-finetuned-deprem-satellite
This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on the deprem-ml/deprem_satellite_semantic_whu_dataset dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0641
- eval_mean_iou: 0.9849
- eval_mean_accuracy: 0.9933
- eval_overall_accuracy: 0.9933
- eval_runtime: 94.2835
- eval_samples_per_second: 10.988
- eval_steps_per_second: 2.206
- epoch: 4.18
- step: 1980
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: 7e-05
- train_batch_size: 10
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for sawthiha/segformer-b0-finetuned-deprem-satellite
Base model
nvidia/segformer-b0-finetuned-ade-512-512