readme: ---
  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
  