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# beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-20-40-40

This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0075
- Accuracy: 0.9972

## 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: 0.5
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1841        | 0.99  | 46   | 0.0968          | 0.9570   |
| 0.1017        | 2.0   | 93   | 0.0328          | 0.9887   |
| 0.1037        | 2.99  | 139  | 0.0281          | 0.9891   |
| 0.1074        | 4.0   | 186  | 0.0201          | 0.9924   |
| 0.0274        | 4.95  | 230  | 0.0075          | 0.9972   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3

lung-benign_tissue lung_adenocarcinoma lung_squamous_cell_carcinoma