segformer-b0-finetuned-magic-cards-230117

This model is a fine-tuned version of 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
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