readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: convnext-tiny-224-klobasaniklobasa
    results: []
  ---
  
  # 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
  