convnext-tiny-new-1e-4
This model is a fine-tuned version of facebook/convnextv2-tiny-22k-384 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2402
- Accuracy: 0.9395
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: 0.0001
- 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 |
|---|---|---|---|---|
| 0.8432 | 1.0 | 1099 | 0.4732 | 0.8620 |
| 0.6603 | 2.0 | 2198 | 0.3556 | 0.9010 |
| 0.487 | 3.0 | 3297 | 0.4107 | 0.8827 |
| 0.4369 | 4.0 | 4396 | 0.3119 | 0.9173 |
| 0.3791 | 5.0 | 5495 | 0.3083 | 0.9197 |
| 0.3342 | 6.0 | 6594 | 0.2803 | 0.9296 |
| 0.2803 | 7.0 | 7693 | 0.2673 | 0.9340 |
| 0.2118 | 8.0 | 8792 | 0.2637 | 0.9320 |
| 0.1706 | 9.0 | 9891 | 0.2575 | 0.9348 |
| 0.1995 | 10.0 | 10990 | 0.2553 | 0.9376 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2