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# New-plant-diseases-classification

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: 0.0548
- Accuracy: 0.995

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 16
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.5635        | 1.0   | 137  | 1.0712          | 0.9918   |
| 0.5929        | 2.0   | 275  | 0.3213          | 0.9923   |
| 0.2239        | 3.0   | 412  | 0.1482          | 0.9955   |
| 0.1256        | 4.0   | 550  | 0.1175          | 0.9882   |
| 0.0807        | 5.0   | 687  | 0.0648          | 0.9955   |
| 0.0561        | 6.0   | 825  | 0.0548          | 0.995    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2

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