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# zesty-waterfall-203

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: 1.3379
- Accuracy: 0.4277
- Precision: 0.5354
- Recall: 0.4277
- F1: 0.3818
- Roc Auc: 0.7103

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Roc Auc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
| 1.4416        | 1.0   | 144  | 1.3819          | 0.3203   | 0.1026    | 0.3203 | 0.1554 | 0.3980  |
| 1.4694        | 2.0   | 288  | 1.5073          | 0.1680   | 0.0282    | 0.1680 | 0.0483 | 0.5547  |
| 1.4062        | 3.0   | 432  | 1.3379          | 0.4277   | 0.5354    | 0.4277 | 0.3818 | 0.7103  |


### Framework versions

- Transformers 4.52.3
- Pytorch 2.7.0+cpu
- Datasets 3.6.0
- Tokenizers 0.21.0

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