tcg-magic-classifier
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the acidtib/tcg-magic-cards dataset. It achieves the following results on the evaluation set:
- Loss: 7.9836
- Accuracy: 0.2545
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: 32
- eval_batch_size: 32
- 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: 5.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 8.3148 | 1.0 | 488 | 8.2632 | 0.0055 |
| 8.1958 | 2.0 | 976 | 8.1519 | 0.0598 |
| 8.089 | 3.0 | 1464 | 8.0596 | 0.1567 |
| 8.0208 | 4.0 | 1952 | 8.0033 | 0.2276 |
| 7.983 | 5.0 | 2440 | 7.9836 | 0.2545 |
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-in21kEvaluation results
- Accuracy on acidtib/tcg-magic-cardsvalidation set self-reported0.255