---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_trainer
datasets:
- scene_parse_150
model-index:
- name: segformer-b0-scene-parse-150
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# segformer-b0-scene-parse-150

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the scene_parse_150 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6391
- Mean Iou: 0.0583
- Mean Accuracy: 0.1172
- Overall Accuracy: 0.4492
- Per Category Iou: [0.44041294308583534, nan, nan, 0.6666970930892689, nan, 0.33468836772838806, nan, nan, 0.010483214113553378, nan, 0.09776380089668009, nan, nan, nan, 0.27788378028383004, 0.0, nan, 0.0, 0.0003410360439818898, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.10667274078691827, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.07423709941194892, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.02291795825583798, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.12350896966281581, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan]
- Per Category Accuracy: [0.6424969817484554, nan, nan, 0.8805785816574676, nan, 0.46181318389743264, nan, nan, 0.01073188993573345, nan, 0.10568203217142234, nan, nan, nan, 0.6834847599119304, 0.0, nan, nan, 0.00041847041847041847, nan, nan, nan, 0.0, nan, 0.0, nan, nan, 0.23207169236547248, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.551230945262614, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.03717359970502464, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.1452108041255328, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan]

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 | Per Category Accuracy                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| 3.747         | 1.0   | 20   | 3.6391          | 0.0583   | 0.1172        | 0.4492           | [0.44041294308583534, nan, nan, 0.6666970930892689, nan, 0.33468836772838806, nan, nan, 0.010483214113553378, nan, 0.09776380089668009, nan, nan, nan, 0.27788378028383004, 0.0, nan, 0.0, 0.0003410360439818898, 0.0, nan, nan, 0.0, nan, 0.0, nan, nan, 0.10667274078691827, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.07423709941194892, nan, nan, nan, 0.0, nan, 0.0, nan, nan, nan, 0.02291795825583798, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.12350896966281581, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan] | [0.6424969817484554, nan, nan, 0.8805785816574676, nan, 0.46181318389743264, nan, nan, 0.01073188993573345, nan, 0.10568203217142234, nan, nan, nan, 0.6834847599119304, 0.0, nan, nan, 0.00041847041847041847, nan, nan, nan, 0.0, nan, 0.0, nan, nan, 0.23207169236547248, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, 0.551230945262614, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, 0.03717359970502464, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, 0.0, nan, 0.1452108041255328, 0.0, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, 0.0, 0.0, nan, nan, nan, nan, nan, nan, 0.0, nan, nan, 0.0, 0.0, 0.0, 0.0, nan] |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1