fashion-images-gender-age-vit-large-patch16-384-v1
This model is a fine-tuned version of google/vit-large-patch16-384 on the touchtech/fashion-images-gender-age dataset. It achieves the following results on the evaluation set:
- Loss: 0.0306
- Accuracy: 0.9951
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: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.084 | 1.0 | 2457 | 0.0423 | 0.9905 |
| 0.0233 | 2.0 | 4914 | 0.0353 | 0.9928 |
| 0.009 | 3.0 | 7371 | 0.0404 | 0.9942 |
| 0.0056 | 4.0 | 9828 | 0.0312 | 0.9951 |
| 0.0 | 5.0 | 12285 | 0.0306 | 0.9951 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0