---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: gianlab/swin-tiny-patch4-window7-224-finetuned-plantdisease
model-index:
- name: CGIAR
  results: []
---

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

This model is a fine-tuned version of [gianlab/swin-tiny-patch4-window7-224-finetuned-plantdisease](https://huggingface.co/gianlab/swin-tiny-patch4-window7-224-finetuned-plantdisease) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7888
- Accuracy: 0.6571

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0123        | 1.0   | 652  | 0.8818          | 0.6178   |
| 0.8619        | 2.0   | 1304 | 0.8398          | 0.6346   |
| 0.8324        | 3.0   | 1956 | 0.8233          | 0.6366   |
| 0.7872        | 4.0   | 2608 | 0.7888          | 0.6571   |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0