
# convnext-tiny-224-klobasaniklobasa

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/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

hrenovka kranjska-klobasa krvavica mortadela pecenica prsut