---
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- image-classification
- fruits360
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-fruits-360
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# vit-base-fruits-360

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the Boosso/fruits-360 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0005
- Accuracy: 1.0

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0078        | 1.0   | 3385  | 0.0086          | 0.9999   |
| 0.0067        | 2.0   | 6770  | 0.0027          | 0.9999   |
| 0.001         | 3.0   | 10155 | 0.0012          | 0.9999   |
| 0.0005        | 4.0   | 13540 | 0.0006          | 1.0      |
| 0.0003        | 5.0   | 16925 | 0.0005          | 1.0      |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1