---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-beans
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# vit-base-beans

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0014
- 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.0532        | 0.3448 | 100  | 0.0277          | 0.9961   |
| 0.0518        | 0.6897 | 200  | 0.0330          | 0.9942   |
| 0.006         | 1.0345 | 300  | 0.0387          | 0.9923   |
| 0.004         | 1.3793 | 400  | 0.0696          | 0.9845   |
| 0.0032        | 1.7241 | 500  | 0.1609          | 0.9691   |
| 0.0026        | 2.0690 | 600  | 0.0025          | 1.0      |
| 0.0021        | 2.4138 | 700  | 0.0020          | 1.0      |
| 0.0018        | 2.7586 | 800  | 0.0017          | 1.0      |
| 0.0016        | 3.1034 | 900  | 0.0016          | 1.0      |
| 0.0015        | 3.4483 | 1000 | 0.0015          | 1.0      |
| 0.0014        | 3.7931 | 1100 | 0.0014          | 1.0      |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1