vit-bird
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6612
- Accuracy: 0.7653
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.3816 | 1.0 | 187 | 3.1595 | 0.5787 |
| 1.9573 | 2.0 | 375 | 1.9335 | 0.7390 |
| 1.3958 | 2.99 | 561 | 1.6612 | 0.7653 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.5.1
- Datasets 2.19.2
- Tokenizers 0.13.3
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Base model
google/vit-base-patch16-224