vit-base-patch16-224-in21k-rotated-dungeons-v9
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the rotated_maps dataset. It achieves the following results on the evaluation set:
- Loss: 1.3109
- Accuracy: 0.625
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 22
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.014 | 8.3333 | 100 | 1.5028 | 0.5 |
| 0.6464 | 16.6667 | 200 | 1.3109 | 0.625 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
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Model tree for griffio/vit-base-patch16-224-in21k-rotated-dungeons-v9
Base model
google/vit-base-patch16-224-in21kEvaluation results
- Accuracy on rotated_mapsvalidation set self-reported0.625