results
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.4941
- Accuracy: 0.5
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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 20 | 1.6010 | 0.4563 |
| No log | 2.0 | 40 | 1.5431 | 0.5 |
| No log | 3.0 | 60 | 1.5173 | 0.4750 |
| No log | 4.0 | 80 | 1.4956 | 0.5 |
| No log | 5.0 | 100 | 1.4941 | 0.5 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.2.2
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
google/vit-base-patch16-224-in21k