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# segformer-cloud

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset.

## 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: 6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000

### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "other", "tags": ["image-segmentation", "vision", "generated_from_trainer"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-cloud", "results": []}]}
transformers safetensors segformer image-segmentation vision generated_from_trainer base_model:nvidia/mit-b0 license:other endpoints_compatible region:us