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convnextv2-large-1k-224-finetuned-BreastCancer-Classification-BreakHis-AH-60-20-20-Shuffled
This model is a fine-tuned version of facebook/convnextv2-large-1k-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0398
- Accuracy: 0.9882
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-05
- 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: 14
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.5059 | 1.0 | 199 | 0.9001 | 0.4826 |
| 0.2533 | 2.0 | 398 | 0.9515 | 0.2124 |
| 0.2358 | 3.0 | 597 | 0.9538 | 0.1543 |
| 0.2584 | 4.0 | 796 | 0.9642 | 0.1136 |
| 0.1085 | 5.0 | 995 | 0.9746 | 0.0891 |
| 0.1007 | 6.0 | 1194 | 0.9769 | 0.0725 |
| 0.1463 | 7.0 | 1393 | 0.9840 | 0.0541 |
| 0.3564 | 8.0 | 1592 | 0.9802 | 0.0880 |
| 0.0957 | 9.0 | 1791 | 0.9656 | 0.1375 |
| 0.1481 | 10.0 | 1990 | 0.0511 | 0.9873 |
| 0.1536 | 11.0 | 2189 | 0.0827 | 0.9713 |
| 0.0458 | 12.0 | 2388 | 0.0398 | 0.9882 |
| 0.4956 | 13.0 | 2587 | 0.3474 | 0.8643 |
| 0.0801 | 14.0 | 2786 | 0.0850 | 0.9797 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
