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
- Downloads last month
- 547
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for sawthiha/segformer-b0-finetuned-deprem-satellite
Base model
nvidia/segformer-b0-finetuned-ade-512-512