convnext-tiny-224-klobasaniklobasa
This model is a fine-tuned version of facebook/convnext-tiny-224 on a small dataset of klobasa images scraped from the internets. It achieves the following results on the evaluation set:
- Loss: 0.4401
- Accuracy: 0.8958
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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7062 | 1.0 | 48 | 0.7116 | 0.8438 |
| 0.4831 | 2.0 | 96 | 0.5968 | 0.8333 |
| 0.2429 | 3.0 | 144 | 0.5384 | 0.8542 |
| 0.2292 | 4.0 | 192 | 0.4995 | 0.8438 |
| 0.1549 | 5.0 | 240 | 0.4508 | 0.8854 |
| 0.1682 | 6.0 | 288 | 0.4401 | 0.8958 |
| 0.1736 | 7.0 | 336 | 0.4440 | 0.8958 |
| 0.0633 | 8.0 | 384 | 0.4406 | 0.8958 |
| 0.0689 | 9.0 | 432 | 0.4371 | 0.8958 |
| 0.0558 | 10.0 | 480 | 0.4334 | 0.8958 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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