cmmy
This model is a fine-tuned version of therealcyberlord/stanford-car-vit-patch16 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.5412
- Loss: 1.4404
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: 0.001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 1024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 16.0903 | 0.9967 | 226 | 0.1969 | 3.4455 |
| 11.5438 | 1.9967 | 452 | 0.2992 | 2.4033 |
| 9.5963 | 2.9967 | 678 | 0.3492 | 2.0761 |
| 8.3873 | 3.9967 | 904 | 0.3934 | 1.8921 |
| 7.3127 | 4.9967 | 1130 | 0.4288 | 1.7535 |
| 6.2178 | 5.9967 | 1356 | 0.4609 | 1.6533 |
| 5.4619 | 6.9967 | 1582 | 0.4856 | 1.5859 |
| 4.618 | 7.9967 | 1808 | 0.5129 | 1.5253 |
| 3.9349 | 8.9967 | 2034 | 0.5315 | 1.4693 |
| 3.4667 | 9.9967 | 2260 | 0.5412 | 1.4404 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0