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convnextv2-large-1k-224-finetuned-Lesion-Classification-HAM10000-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: 0.0721
- Accuracy: 0.9869
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8937 | 1.0 | 114 | 1.9040 | 0.3144 |
| 1.7208 | 2.0 | 229 | 1.6891 | 0.5632 |
| 1.3822 | 3.0 | 343 | 1.3554 | 0.6897 |
| 1.1497 | 4.0 | 458 | 1.2437 | 0.5755 |
| 0.8979 | 5.0 | 572 | 0.8548 | 0.7701 |
| 0.6382 | 6.0 | 687 | 0.6359 | 0.8424 |
| 0.583 | 7.0 | 801 | 0.4687 | 0.8966 |
| 0.6295 | 8.0 | 916 | 0.5029 | 0.8456 |
| 0.5367 | 9.0 | 1030 | 0.4742 | 0.8670 |
| 0.5091 | 10.0 | 1145 | 0.3038 | 0.9212 |
| 0.3521 | 11.0 | 1259 | 0.1855 | 0.9606 |
| 0.318 | 12.0 | 1374 | 0.1893 | 0.9573 |
| 0.2725 | 13.0 | 1488 | 0.2292 | 0.9409 |
| 0.2937 | 14.0 | 1603 | 0.0866 | 0.9836 |
| 0.1185 | 14.93 | 1710 | 0.0721 | 0.9869 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
