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# segformer-b0-finetuned-deprem-satellite

This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/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
{"license": "other", "tags": ["vision", "image-segmentation", "generated_from_trainer"], "datasets": ["deprem-ml/deprem_satellite_semantic_whu_dataset"], "base_model": "nvidia/segformer-b0-finetuned-ade-512-512", "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"}], "model-index": [{"name": "segformer-b0-finetuned-deprem-satellite", "results": []}]}
transformers tf safetensors segformer vision image-segmentation generated_from_trainer dataset:deprem-ml/deprem_satellite_semantic_whu_dataset base_model:nvidia/segformer-b0-finetuned-ade-512-512 license:other endpoints_compatible region:us