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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 |
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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 |
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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: 0.0398 |
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- Accuracy: 0.9882 |
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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 | Accuracy | Validation Loss | |
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|:-------------:|:-----:|:----:|:--------:|:---------------:| |
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| 0.5059 | 1.0 | 199 | 0.9001 | 0.4826 | |
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| 0.2533 | 2.0 | 398 | 0.9515 | 0.2124 | |
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| 0.2358 | 3.0 | 597 | 0.9538 | 0.1543 | |
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| 0.2584 | 4.0 | 796 | 0.9642 | 0.1136 | |
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| 0.1085 | 5.0 | 995 | 0.9746 | 0.0891 | |
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| 0.1007 | 6.0 | 1194 | 0.9769 | 0.0725 | |
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| 0.1463 | 7.0 | 1393 | 0.9840 | 0.0541 | |
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| 0.3564 | 8.0 | 1592 | 0.9802 | 0.0880 | |
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| 0.0957 | 9.0 | 1791 | 0.9656 | 0.1375 | |
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| 0.1481 | 10.0 | 1990 | 0.0511 | 0.9873 | |
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| 0.1536 | 11.0 | 2189 | 0.0827 | 0.9713 | |
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| 0.0458 | 12.0 | 2388 | 0.0398 | 0.9882 | |
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| 0.4956 | 13.0 | 2587 | 0.3474 | 0.8643 | |
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| 0.0801 | 14.0 | 2786 | 0.0850 | 0.9797 | |
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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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