---
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: 0.2908
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------:|:---------------------:|
| 0.5788        | 0.95  | 20   | 0.5834          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| 0.4819        | 1.9   | 40   | 0.4197          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| 0.4489        | 2.86  | 60   | 0.3899          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| 0.4007        | 3.81  | 80   | 0.3601          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| 0.3657        | 4.76  | 100  | 0.3487          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| 0.351         | 5.71  | 120  | 0.3435          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| 0.3158        | 6.67  | 140  | 0.3149          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| 0.3116        | 7.62  | 160  | 0.2944          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| 0.2921        | 8.57  | 180  | 0.2926          | 0.0      | nan           | nan              | [0.0]            | [nan]                 |
| 0.2983        | 9.52  | 200  | 0.2908          | 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