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--- |
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license: apache-2.0 |
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base_model: facebook/convnextv2-large-1k-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: convnextv2-large-1k-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd |
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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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# convnextv2-large-1k-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled-3rd |
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This model is a fine-tuned version of [facebook/convnextv2-large-1k-224](https://huggingface.co/facebook/convnextv2-large-1k-224) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0543 |
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- Accuracy: 0.9873 |
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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-05 |
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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: 14 |
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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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| 0.5284 | 1.0 | 199 | 0.5013 | 0.9095 | |
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| 0.2084 | 2.0 | 398 | 0.2076 | 0.9524 | |
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| 0.1274 | 3.0 | 597 | 0.1459 | 0.9566 | |
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| 0.1618 | 4.0 | 796 | 0.1534 | 0.9383 | |
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| 0.2118 | 5.0 | 995 | 0.0877 | 0.9727 | |
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| 0.0306 | 6.0 | 1194 | 0.1048 | 0.9656 | |
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| 0.1012 | 7.0 | 1393 | 0.0674 | 0.9755 | |
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| 0.2079 | 8.0 | 1592 | 0.0662 | 0.9731 | |
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| 0.087 | 9.0 | 1791 | 0.1183 | 0.9458 | |
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| 0.1543 | 10.0 | 1990 | 0.0605 | 0.9840 | |
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| 0.0788 | 11.0 | 2189 | 0.0557 | 0.9868 | |
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| 0.0604 | 12.0 | 2388 | 0.0461 | 0.9868 | |
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| 0.0306 | 13.0 | 2587 | 0.0476 | 0.9854 | |
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| 0.0365 | 14.0 | 2786 | 0.0543 | 0.9873 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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