readme: ---
  license: other
  tags:
  - vision
  - image-segmentation
  - generated_from_trainer
  model-index:
  - name: segformer-b0-finetuned-magic-cards-230117
    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-magic-cards-230117
  
  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the andrewljohnson/magic_cards dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.059
  - Mean Iou: 0.654
  - Mean Accuracy: 0.981
  - Overall Accuracy: 0.983
  - Accuracy Unlabeled: nan
  - Accuracy Front: 0.964
  - Accuracy Back: 0.998
  - Iou Unlabeled: 0.0
  - Iou Front: 0.965
  - Iou Back: 0.998
  
  ## Model description
  
  Segment magic card front and backs.
  
  ## 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: 50
  
  ### Training results
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1
  - Datasets 2.8.0
  - Tokenizers 0.13.0.dev0
  