transformers pytorch beit image-classification generated_from_trainer base_model:microsoft/beit-large-patch16-224 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: microsoft/beit-large-patch16-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled
  results: []
---

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# beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled

This model is a fine-tuned version of [microsoft/beit-large-patch16-224](https://huggingface.co/microsoft/beit-large-patch16-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0146
- Accuracy: 0.9958

## 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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.9
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.5847        | 1.0   | 199  | 0.8030   | 0.4640          |
| 0.2856        | 2.0   | 398  | 0.9354   | 0.1753          |
| 0.156         | 3.0   | 597  | 0.9552   | 0.1179          |
| 0.1049        | 4.0   | 796  | 0.9585   | 0.1043          |
| 0.1399        | 5.0   | 995  | 0.9760   | 0.0673          |
| 0.0423        | 6.0   | 1194 | 0.9802   | 0.0455          |
| 0.078         | 7.0   | 1393 | 0.9802   | 0.0554          |
| 0.1769        | 8.0   | 1592 | 0.9764   | 0.0556          |
| 0.0568        | 9.0   | 1791 | 0.9807   | 0.0569          |
| 0.0728        | 10.0  | 1990 | 0.9915   | 0.0234          |
| 0.0229        | 11.0  | 2189 | 0.9910   | 0.0240          |
| 0.0561        | 12.0  | 2388 | 0.9901   | 0.0352          |
| 0.014         | 13.0  | 2587 | 0.9797   | 0.0749          |
| 0.096         | 14.0  | 2786 | 0.9934   | 0.0268          |
| 0.0005        | 15.0  | 2985 | 0.0146   | 0.9958          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
