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# convnext-xlarge-224-22k-1k-v12-d-v_6_p2

This model is a fine-tuned version of [facebook/convnext-xlarge-224-22k-1k](https://huggingface.co/facebook/convnext-xlarge-224-22k-1k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0156
- Accuracy: 1.0

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 9    | 0.1719          | 0.9127   |
| 0.3998        | 2.0   | 18   | 0.0809          | 0.9603   |
| 0.0664        | 3.0   | 27   | 0.0156          | 1.0      |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3

bad good