---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_trainer
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
should probably proofread and complete it, then remove this comment. -->

# segformer-b0-scene-parse-150

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: -34.0382
- Mean Iou: 0.0
- Mean Accuracy: nan
- Overall Accuracy: nan
- Per Category Iou: [0.0]
- Per Category Accuracy: [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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------:|:---------------------:|
| -14.0066      | 0.95  | 20   | -4.7161         | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| -22.6107      | 1.9   | 40   | -10.5378        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| -19.9201      | 2.86  | 60   | -21.2021        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| -28.3712      | 3.81  | 80   | -21.2437        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| -37.3469      | 4.76  | 100  | -28.5338        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| -37.3102      | 5.71  | 120  | -31.3866        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| -39.3847      | 6.67  | 140  | -36.0143        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| -39.0931      | 7.62  | 160  | -31.5379        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| -43.0727      | 8.57  | 180  | -33.0026        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| -47.8338      | 9.52  | 200  | -34.0382        | 0.0      | nan           | nan              | [0.0]            | [nan]                 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2