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README.md
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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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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4334
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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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