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# finetuned-fruit-classifier

This model is a fine-tuned version of [ivandrian11/fruit-classifier](https://huggingface.co/ivandrian11/fruit-classifier) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1037
- Accuracy: 0.95

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0057        | 1.0   | 7    | 0.1005          | 0.95     |
| 0.0041        | 2.0   | 14   | 0.1033          | 0.95     |
| 0.0042        | 3.0   | 21   | 0.1037          | 0.95     |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1

acerolas apples apricots avocados bananas blackberries blueberries cantaloupes cherries coconuts figs grapefruits grapes guava kiwifruit lemons limes mangos olives oranges passionfruit peaches pears pineapples plums pomegranates raspberries strawberries tomatoes watermelons