---
library_name: transformers
base_model: osmanh/vit-base-patch16-finetuned-EuroSAT
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-patch16-finetuned-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-patch16-finetuned-beans

This model is a fine-tuned version of [osmanh/vit-base-patch16-finetuned-EuroSAT](https://huggingface.co/osmanh/vit-base-patch16-finetuned-EuroSAT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2010
- Accuracy: 0.9662

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3493        | 1.0   | 13   | 0.2805          | 0.9420   |
| 0.2435        | 2.0   | 26   | 0.2215          | 0.9469   |
| 0.1721        | 3.0   | 39   | 0.1618          | 0.9758   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3