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