fashion-images-gender-age-vit-huge-patch14-224-in21k
This model is a fine-tuned version of google/vit-huge-patch14-224-in21k on the touchtech/fashion-images-gender-age dataset. It achieves the following results on the evaluation set:
- Loss: 0.0346
- Accuracy: 0.9895
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1848 | 1.0 | 2422 | 0.0777 | 0.9798 |
| 0.1055 | 2.0 | 4844 | 0.0708 | 0.9819 |
| 0.0949 | 3.0 | 7266 | 0.0440 | 0.9877 |
| 0.08 | 4.0 | 9688 | 0.0373 | 0.9883 |
| 0.063 | 5.0 | 12110 | 0.0346 | 0.9895 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
google/vit-huge-patch14-224-in21kEvaluation results
- Accuracy on touchtech/fashion-images-gender-ageself-reported0.989