vit_epochs5_batch32_lr5e-05_size224_tiles3_seed3_q1
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the Dogs_vs_Cats dataset. It achieves the following results on the evaluation set:
- Loss: 0.0617
- Accuracy: 0.9851
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: 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 |
|---|---|---|---|---|
| 0.0075 | 1.0 | 469 | 0.0617 | 0.9851 |
| 0.0002 | 2.0 | 938 | 0.0924 | 0.9816 |
| 0.0 | 3.0 | 1407 | 0.0975 | 0.9827 |
| 0.0 | 4.0 | 1876 | 0.0860 | 0.9856 |
| 0.0 | 5.0 | 2345 | 0.0868 | 0.9856 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.19.1
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Base model
google/vit-base-patch16-224-in21k