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# finetuned-waste

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the BioNonbioWaste dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0048
- Accuracy: 1.0

## 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.1044        | 0.5435 | 100  | 0.0418          | 0.9826   |
| 0.0517        | 1.0870 | 200  | 0.0545          | 0.9749   |
| 0.0168        | 1.6304 | 300  | 0.0099          | 0.9961   |
| 0.0526        | 2.1739 | 400  | 0.0048          | 1.0      |
| 0.062         | 2.7174 | 500  | 0.0196          | 0.9942   |
| 0.0088        | 3.2609 | 600  | 0.0155          | 0.9981   |
| 0.0239        | 3.8043 | 700  | 0.0106          | 0.9981   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1

bio nonbio