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# outputs

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2940
- Accuracy: 0.6066

## 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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Use OptimizerNames.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_steps: 1000
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 3.0125        | 0.9953 | 53   | 2.9198          | 0.1172   |
| 2.4616        | 1.9906 | 106  | 2.2769          | 0.3719   |
| 1.8476        | 2.9859 | 159  | 1.6799          | 0.5055   |
| 1.3277        | 3.9812 | 212  | 1.2940          | 0.6066   |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.20.1

bacterial_blight bacterial_leaf_blight bacterial_leaf_streak bacterial_panicle_blight black_stem_borer blast brown_plant_hopper brown_spot downy_mildew false_smut gundhi_bug healthy hispa ladybird_beetle leaf_folder leaf_roller leaf_smut others tungro white_stem_borer yellow_stem_borer