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# image-classification

This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8185
- Accuracy: 0.8203

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0965        | 1.0   | 65   | 1.0814          | 0.5113   |
| 1.0585        | 2.0   | 130  | 1.0459          | 0.6466   |
| 1.0026        | 3.0   | 195  | 0.9979          | 0.7068   |
| 0.9557        | 4.0   | 260  | 0.9329          | 0.8120   |
| 0.896         | 5.0   | 325  | 0.8637          | 0.7820   |
| 0.8539        | 6.0   | 390  | 0.8104          | 0.8271   |
| 0.8085        | 7.0   | 455  | 0.7348          | 0.7744   |
| 0.7525        | 8.0   | 520  | 0.7049          | 0.8120   |
| 0.7449        | 9.0   | 585  | 0.6939          | 0.8195   |
| 0.7167        | 10.0  | 650  | 0.6809          | 0.8271   |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0

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