---
license: other
base_model: nvidia/mit-b0
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: segformer-b0-finetuned-segments-pageboundet-finaltry
  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-finetuned-segments-pageboundet-finaltry

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the vigneshgs7/Boundary_detection_onelasttry dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2569
- Mean Iou: nan
- Mean Accuracy: nan
- Overall Accuracy: nan
- Accuracy Object: nan
- Accuracy Surface: nan
- Iou Object: nan
- Iou Surface: 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 | Accuracy Object | Accuracy Surface | Iou Object | Iou Surface |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:---------------:|:----------------:|:----------:|:-----------:|
| 0.4616        | 2.0   | 20   | 0.4828          | nan      | nan           | nan              | nan             | nan              | nan        | nan         |
| 0.3359        | 4.0   | 40   | 0.3351          | nan      | nan           | nan              | nan             | nan              | nan        | nan         |
| 0.2898        | 6.0   | 60   | 0.2885          | nan      | nan           | nan              | nan             | nan              | nan        | nan         |
| 0.3041        | 8.0   | 80   | 0.2671          | nan      | nan           | nan              | nan             | nan              | nan        | nan         |
| 0.2429        | 10.0  | 100  | 0.2569          | nan      | nan           | nan              | nan             | nan              | nan        | nan         |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1