---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: segformer-b0-finetuned-pokemon
  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-pokemon

This model is a fine-tuned version of [ydmeira/segformer-b0-finetuned-pokemon](https://huggingface.co/ydmeira/segformer-b0-finetuned-pokemon) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0225
- Mean Accuracy: 0.9927
- Mean Iou: 0.4964
- Overall Accuracy: 0.9927
- Per Category Accuracy: [nan, 0.9927247002783977]
- Per Category Iou: [0.0, 0.9927247002783977]

## 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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mean Accuracy | Mean Iou | Overall Accuracy | Per Category Accuracy     | Per Category Iou          |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|:--------:|:----------------:|:-------------------------:|:-------------------------:|
| 0.0217        | 15.0  | 435  | 0.0228          | 0.9944        | 0.4972   | 0.9944           | [nan, 0.9944285716570368] | [0.0, 0.9944285716570368] |
| 0.0228        | 16.0  | 464  | 0.0227          | 0.9943        | 0.4971   | 0.9943           | [nan, 0.9942943994375907] | [0.0, 0.9942943994375907] |
| 0.0204        | 17.0  | 493  | 0.0226          | 0.9933        | 0.4967   | 0.9933           | [nan, 0.9933366094222428] | [0.0, 0.9933366094222428] |
| 0.0202        | 18.0  | 522  | 0.0226          | 0.9929        | 0.4964   | 0.9929           | [nan, 0.9928635048309444] | [0.0, 0.9928635048309444] |
| 0.021         | 19.0  | 551  | 0.0226          | 0.9924        | 0.4962   | 0.9924           | [nan, 0.9924163192462797] | [0.0, 0.9924163192462797] |
| 0.0203        | 20.0  | 580  | 0.0225          | 0.9927        | 0.4964   | 0.9927           | [nan, 0.9927247002783977] | [0.0, 0.9927247002783977] |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1