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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: convnext-tiny-224-klobasaniklobasa |
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results: [] |
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--- |
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# convnext-tiny-224-klobasaniklobasa |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4401 |
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- Accuracy: 0.8958 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 4e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.7062 | 1.0 | 48 | 0.7116 | 0.8438 | |
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| 0.4831 | 2.0 | 96 | 0.5968 | 0.8333 | |
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| 0.2429 | 3.0 | 144 | 0.5384 | 0.8542 | |
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| 0.2292 | 4.0 | 192 | 0.4995 | 0.8438 | |
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| 0.1549 | 5.0 | 240 | 0.4508 | 0.8854 | |
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| 0.1682 | 6.0 | 288 | 0.4401 | 0.8958 | |
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| 0.1736 | 7.0 | 336 | 0.4440 | 0.8958 | |
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| 0.0633 | 8.0 | 384 | 0.4406 | 0.8958 | |
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| 0.0689 | 9.0 | 432 | 0.4371 | 0.8958 | |
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| 0.0558 | 10.0 | 480 | 0.4334 | 0.8958 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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