metadata

license: other
base_model: nvidia/segformer-b0-finetuned-ade-512-512
tags:
  - vision
  - image-segmentation
  - generated_from_trainer
model-index:
  - name: segformer-b0-finetuned-deprem-satellite
    results: []
widget:
  - src: >-
      https://datasets-server.huggingface.co/assets/deprem-ml/deprem_satellite_semantic_whu_dataset/--/default/train/3/image/image.jpg
    example_title: Example 1
  - src: >-
      https://datasets-server.huggingface.co/assets/deprem-ml/deprem_satellite_semantic_whu_dataset/--/default/train/9/image/image.jpg
    example_title: Example 2
datasets:
  - deprem-ml/deprem_satellite_semantic_whu_dataset

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