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# results

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: 1.0865
- Accuracy: 0.4576

## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 8    | 1.1023          | 0.2632   |
| 1.103         | 2.0   | 16   | 1.0984          | 0.2807   |
| 1.099         | 3.0   | 24   | 1.0956          | 0.2807   |
| 1.0996        | 4.0   | 32   | 1.0915          | 0.3684   |
| 1.0974        | 5.0   | 40   | 1.0904          | 0.4035   |
| 1.0974        | 6.0   | 48   | 1.0904          | 0.3684   |
| 1.0938        | 7.0   | 56   | 1.0894          | 0.3509   |
| 1.0891        | 8.0   | 64   | 1.0889          | 0.3509   |
| 1.0897        | 9.0   | 72   | 1.0877          | 0.4035   |
| 1.0911        | 10.0  | 80   | 1.0873          | 0.3684   |


### Framework versions

- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1

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