convext-base-more-aug
This model is a fine-tuned version of facebook/convnextv2-base-22k-384 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2060
- Accuracy: 0.9488
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7313 | 1.0 | 1099 | 0.3851 | 0.8926 |
| 0.5999 | 2.0 | 2198 | 0.3025 | 0.9145 |
| 0.4509 | 3.0 | 3297 | 0.2613 | 0.9264 |
| 0.4366 | 4.0 | 4396 | 0.2300 | 0.9396 |
| 0.3953 | 5.0 | 5495 | 0.2278 | 0.9412 |
| 0.307 | 6.0 | 6594 | 0.2247 | 0.9427 |
| 0.2967 | 7.0 | 7693 | 0.2106 | 0.9443 |
| 0.2549 | 8.0 | 8792 | 0.2030 | 0.9491 |
| 0.275 | 9.0 | 9891 | 0.2036 | 0.9463 |
| 0.24 | 10.0 | 10990 | 0.2027 | 0.9471 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2