fine-tuned
This model is a fine-tuned version of google/vit-base-patch16-224 on the custom-huggingface dataset. It achieves the following results on the evaluation set:
- Loss: 7.3529
- Accuracy: 0.0596
- F1: 0.0075
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: 8
- 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 | F1 |
|---|---|---|---|---|---|
| 0.3773 | 2.54 | 1000 | 7.3529 | 0.0596 | 0.0075 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3