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# plant-seedlings-freeze-0-6-aug-3-all-train-2

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1475
- Accuracy: 0.9503

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.256         | 0.16  | 100  | 0.2983          | 0.9153   |
| 0.145         | 0.31  | 200  | 0.1943          | 0.9392   |
| 0.2502        | 0.47  | 300  | 0.2294          | 0.9227   |
| 0.0876        | 0.63  | 400  | 0.1904          | 0.9355   |
| 0.1218        | 0.79  | 500  | 0.1430          | 0.9540   |
| 0.0952        | 0.94  | 600  | 0.1475          | 0.9503   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

black-grass charlock small-flowered cranesbill sugar beet cleavers common chickweed common wheat fat hen loose silky-bent maize scentless mayweed shepherds purse