Main_Fashion
This model is a fine-tuned version of google/vit-base-patch16-224-in21K on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7633
- Accuracy: 0.6961
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.934 | 0.9259 | 100 | 0.9492 | 0.7030 |
| 0.9191 | 1.8519 | 200 | 0.7838 | 0.7401 |
| 0.7774 | 2.7778 | 300 | 0.8152 | 0.7123 |
| 0.5743 | 3.7037 | 400 | 0.7249 | 0.7100 |
| 0.5145 | 4.6296 | 500 | 0.7721 | 0.7077 |
| 0.4713 | 5.5556 | 600 | 0.7182 | 0.7146 |
| 0.4397 | 6.4815 | 700 | 0.7633 | 0.6961 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1