dinov2-Base-finetuned-kidney_v5
This model is a fine-tuned version of facebook/dinov2-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0012
- Accuracy: 0.9989
- F1: 0.9989
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0019 | 1.0 | 468 | 0.0094 | 0.9979 | 0.9979 |
| 0.0065 | 2.0 | 936 | 0.0012 | 0.9989 | 0.9989 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.6.0+cu126
- Datasets 4.8.4
- Tokenizers 0.22.2