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# convnextv2-tiny-1k-224-finetuned-cifar10

This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6668
- Accuracy: 0.8427

## 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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 1024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.516         | 1.0    | 41   | 1.2639          | 0.6939   |
| 1.0647        | 2.0    | 82   | 0.7782          | 0.8099   |
| 0.9449        | 2.9441 | 120  | 0.6668          | 0.8427   |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.7.0+cpu
- Datasets 3.3.2
- Tokenizers 0.21.0

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