vit-finetuned
This model is a fine-tuned version of google/vit-base-patch16-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2256
- Accuracy: 0.43
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.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
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 211 | 2.9776 | 0.252 |
No log | 2.0 | 422 | 2.6746 | 0.326 |
2.9731 | 3.0 | 633 | 2.4969 | 0.362 |
2.9731 | 4.0 | 844 | 2.2917 | 0.434 |
2.1058 | 5.0 | 1055 | 2.2256 | 0.43 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
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Base model
google/vit-base-patch16-224