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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Dataset used to train sawthiha/segformer-b0-finetuned-deprem-satellite