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# convnext-tiny-224-finetuned-Brain_Cancer

This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2496
- Accuracy: 0.5531
- Precision: 0.5890
- F1 Score: 0.5367

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- 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 | Precision | F1 Score |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:--------:|
| 1.1963        | 1.0    | 5    | 1.3240          | 0.4336   | 0.4589    | 0.3947   |
| 1.1163        | 2.0    | 10   | 1.2571          | 0.5398   | 0.5698    | 0.5214   |
| 1.2711        | 2.4706 | 12   | 1.2496          | 0.5531   | 0.5890    | 0.5367   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1

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