---
license: apache-2.0
base_model: ivandrian11/fruit-classifier
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned-fruit-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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