tcg-magic-cards
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the acidtib/tcg-magic dataset. It achieves the following results on the evaluation set:
- Loss: 2.0966
- Accuracy: 1.0
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 420
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.3338 | 1.0 | 670 | 5.2579 | 0.9815 |
| 4.5546 | 2.0 | 1340 | 4.4963 | 1.0 |
| 4.0495 | 3.0 | 2010 | 3.8846 | 1.0 |
| 3.5336 | 4.0 | 2680 | 3.3778 | 1.0 |
| 3.1436 | 5.0 | 3350 | 2.9700 | 1.0 |
| 2.8286 | 6.0 | 4020 | 2.6456 | 1.0 |
| 2.5533 | 7.0 | 4690 | 2.4037 | 1.0 |
| 2.4154 | 8.0 | 5360 | 2.2333 | 1.0 |
| 2.3379 | 9.0 | 6030 | 2.1294 | 1.0 |
| 2.1785 | 10.0 | 6700 | 2.0966 | 1.0 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
google/vit-base-patch16-224-in21k