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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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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 |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: Splitted-Resized |
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split: train |
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args: Splitted-Resized |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9938708156529938 |
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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 |
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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 imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0275 |
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- Accuracy: 0.9939 |
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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: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.46 | 1.0 | 199 | 0.3950 | 0.8482 | |
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| 0.2048 | 2.0 | 398 | 0.1886 | 0.9189 | |
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| 0.182 | 3.0 | 597 | 0.1382 | 0.9481 | |
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| 0.0826 | 4.0 | 796 | 0.0760 | 0.9694 | |
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| 0.0886 | 5.0 | 995 | 0.0600 | 0.9788 | |
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| 0.0896 | 6.0 | 1194 | 0.0523 | 0.9802 | |
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| 0.0774 | 7.0 | 1393 | 0.0482 | 0.9826 | |
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| 0.0876 | 8.0 | 1592 | 0.0289 | 0.9877 | |
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| 0.1105 | 9.0 | 1791 | 0.0580 | 0.9821 | |
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| 0.0289 | 10.0 | 1990 | 0.0294 | 0.9925 | |
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| 0.0594 | 11.0 | 2189 | 0.0331 | 0.9906 | |
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| 0.0011 | 12.0 | 2388 | 0.0275 | 0.9939 | |
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### Framework versions |
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- Transformers 4.30.2 |
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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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