---
library_name: transformers
license: other
base_model: nvidia/mit-b0
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: custom-object-test4
  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. -->

# custom-object-test4

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the sungile/custom-object-masking5 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2992
- Mean Iou: 0.0
- Mean Accuracy: nan
- Overall Accuracy: nan
- Accuracy Unknown: nan
- Accuracy Background: nan
- Accuracy Object: nan
- Iou Unknown: 0.0
- Iou Background: 0.0
- Iou Object: 0.0

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unknown | Accuracy Background | Accuracy Object | Iou Unknown | Iou Background | Iou Object |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------:|:-------------------:|:---------------:|:-----------:|:--------------:|:----------:|
| 1.0218        | 0.25  | 20   | 1.0125          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | 0.0        |
| 0.8291        | 0.5   | 40   | 0.7527          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | 0.0        |
| 0.7097        | 0.75  | 60   | 0.6208          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | 0.0        |
| 0.606         | 1.0   | 80   | 0.5042          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | 0.0        |
| 0.5577        | 1.25  | 100  | 0.4111          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | 0.0        |
| 0.4422        | 1.5   | 120  | 0.4041          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | 0.0        |
| 0.3799        | 1.75  | 140  | 0.3846          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | 0.0        |
| 0.3578        | 2.0   | 160  | 0.3197          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | nan        |
| 0.3401        | 2.25  | 180  | 0.3423          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | nan        |
| 0.3223        | 2.5   | 200  | 0.3077          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | 0.0        |
| 0.3068        | 2.75  | 220  | 0.3110          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | 0.0        |
| 0.2823        | 3.0   | 240  | 0.2992          | 0.0      | nan           | nan              | nan              | nan                 | nan             | 0.0         | 0.0            | 0.0        |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.1.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0