fine-tuned-vit-ham-pad
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8934
- Accuracy: 0.6619
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: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 176 | 1.9568 | 0.5931 |
| No log | 2.0 | 352 | 1.9109 | 0.6551 |
| 1.9456 | 3.0 | 528 | 1.8934 | 0.6619 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for hannahisrael03/fine-tuned-vit-ham-pad
Base model
google/vit-base-patch16-224-in21k