---
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-3rd
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd

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: 0.0298
- Accuracy: 0.9934

## 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 |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.5462        | 1.0   | 199  | 0.7931   | 0.4728          |
| 0.2496        | 2.0   | 398  | 0.9185   | 0.2074          |
| 0.2173        | 3.0   | 597  | 0.9486   | 0.1305          |
| 0.1009        | 4.0   | 796  | 0.9623   | 0.0964          |
| 0.1528        | 5.0   | 995  | 0.9717   | 0.0662          |
| 0.0893        | 6.0   | 1194 | 0.9774   | 0.0549          |
| 0.0786        | 7.0   | 1393 | 0.9802   | 0.0505          |
| 0.0254        | 8.0   | 1592 | 0.0643   | 0.9783          |
| 0.1112        | 9.0   | 1791 | 0.0311   | 0.9915          |
| 0.0428        | 10.0  | 1990 | 0.0484   | 0.9802          |
| 0.0842        | 11.0  | 2189 | 0.0482   | 0.9863          |
| 0.0129        | 12.0  | 2388 | 0.0372   | 0.9896          |
| 0.1463        | 13.0  | 2587 | 0.0404   | 0.9882          |
| 0.0582        | 14.0  | 2786 | 0.0589   | 0.9821          |
| 0.0063        | 15.0  | 2985 | 0.0298   | 0.9934          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3