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---
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: 0.0157
- Mean Iou: 0.4970
- Mean Accuracy: 0.9940
- Overall Accuracy: 0.9940
- Per Category Iou: [0.0, 0.9940101727137823]
- Per Category Accuracy: [nan, 0.9940101727137823]
## 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: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------------:|:-------------------------:|
| 0.0175 | 45.0 | 1305 | 0.0157 | 0.4971 | 0.9943 | 0.9943 | [0.0, 0.9942906494536522] | [nan, 0.9942906494536522] |
| 0.018 | 46.0 | 1334 | 0.0157 | 0.4968 | 0.9936 | 0.9936 | [0.0, 0.9936369941650801] | [nan, 0.9936369941650801] |
| 0.0185 | 47.0 | 1363 | 0.0157 | 0.4971 | 0.9943 | 0.9943 | [0.0, 0.9942791789145462] | [nan, 0.9942791789145462] |
| 0.018 | 48.0 | 1392 | 0.0157 | 0.4969 | 0.9937 | 0.9937 | [0.0, 0.9937245121725857] | [nan, 0.9937245121725857] |
| 0.0183 | 49.0 | 1421 | 0.0157 | 0.4969 | 0.9939 | 0.9939 | [0.0, 0.9938530594161242] | [nan, 0.9938530594161242] |
| 0.0196 | 50.0 | 1450 | 0.0157 | 0.4970 | 0.9940 | 0.9940 | [0.0, 0.9940101727137823] | [nan, 0.9940101727137823] |
### Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
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