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# fl_image_category

This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the fl_image_category_ds dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9667
- Accuracy: 0.6216

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.274         | 1.0   | 88   | 1.2030          | 0.4986   |
| 1.069         | 2.0   | 176  | 1.0716          | 0.5605   |
| 1.0592        | 3.0   | 264  | 1.0385          | 0.5676   |
| 0.9571        | 4.0   | 352  | 0.9746          | 0.6131   |
| 0.8975        | 5.0   | 440  | 0.9667          | 0.6216   |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.13.2

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