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README.md
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---
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license: apache-2.0
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base_model: microsoft/beit-large-patch16-224
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# beit-large-patch16-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.0146
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- Accuracy: 0.9958
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.9
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Accuracy | Validation Loss |
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|:-------------:|:-----:|:----:|:--------:|:---------------:|
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| 0.5847 | 1.0 | 199 | 0.8030 | 0.4640 |
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| 0.2856 | 2.0 | 398 | 0.9354 | 0.1753 |
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| 0.156 | 3.0 | 597 | 0.9552 | 0.1179 |
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| 0.1049 | 4.0 | 796 | 0.9585 | 0.1043 |
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| 0.1399 | 5.0 | 995 | 0.9760 | 0.0673 |
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| 0.0423 | 6.0 | 1194 | 0.9802 | 0.0455 |
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| 0.078 | 7.0 | 1393 | 0.9802 | 0.0554 |
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| 0.1769 | 8.0 | 1592 | 0.9764 | 0.0556 |
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| 0.0568 | 9.0 | 1791 | 0.9807 | 0.0569 |
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| 0.0728 | 10.0 | 1990 | 0.9915 | 0.0234 |
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| 0.0229 | 11.0 | 2189 | 0.9910 | 0.0240 |
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| 0.0561 | 12.0 | 2388 | 0.9901 | 0.0352 |
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| 0.014 | 13.0 | 2587 | 0.9797 | 0.0749 |
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| 0.096 | 14.0 | 2786 | 0.9934 | 0.0268 |
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| 0.0005 | 15.0 | 2985 | 0.0146 | 0.9958 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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