convnextv2-large-1k-224-finetuned-Lesion-Classification-HAM10000-AH-60-20-20-Shuffled-3rd
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: 0.0672
- Accuracy: 0.9893
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 |
|---|---|---|---|---|
| 1.9123 | 1.0 | 114 | 1.9145 | 0.2241 |
| 1.7059 | 2.0 | 229 | 1.6895 | 0.5599 |
| 1.3919 | 3.0 | 343 | 1.3194 | 0.6634 |
| 1.0811 | 4.0 | 458 | 1.0303 | 0.7151 |
| 0.9301 | 5.0 | 572 | 0.8376 | 0.7562 |
| 0.7336 | 6.0 | 687 | 0.6449 | 0.8374 |
| 0.5805 | 7.0 | 801 | 0.5091 | 0.8736 |
| 0.5982 | 8.0 | 916 | 0.4677 | 0.8826 |
| 0.4939 | 9.0 | 1030 | 0.4029 | 0.8842 |
| 0.3296 | 10.0 | 1145 | 0.3051 | 0.9204 |
| 0.3559 | 11.0 | 1259 | 0.5266 | 0.8366 |
| 0.3089 | 12.0 | 1374 | 0.3569 | 0.8883 |
| 0.2272 | 13.0 | 1488 | 0.1487 | 0.9680 |
| 0.3355 | 14.0 | 1603 | 0.2344 | 0.9269 |
| 0.1581 | 14.93 | 1710 | 0.0672 | 0.9893 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3