---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_trainer
model-index:
- name: segmentation
  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. -->

# segmentation

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: -0.9095
- Mean Iou: 0.2514
- Mean Accuracy: 1.0
- Overall Accuracy: 1.0
- Per Category Iou: [0.25135050741608117]
- Per Category Accuracy: [1.0]

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:---------------------:|:---------------------:|
| -0.906        | 0.1905 | 20   | -0.5145         | 0.2514   | 1.0           | 1.0              | [0.25135050741608117] | [1.0]                 |
| -1.2793       | 0.3810 | 40   | -0.7514         | 0.2514   | 1.0           | 1.0              | [0.25135050741608117] | [1.0]                 |
| -3.2567       | 0.5714 | 60   | -0.9282         | 0.2514   | 1.0           | 1.0              | [0.25135050741608117] | [1.0]                 |
| -3.8327       | 0.7619 | 80   | -0.9024         | 0.2514   | 1.0           | 1.0              | [0.25135050741608117] | [1.0]                 |
| -2.1622       | 0.9524 | 100  | -0.9095         | 0.2514   | 1.0           | 1.0              | [0.25135050741608117] | [1.0]                 |


### Framework versions

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