Dino.dinov2 Base Finetuned SkinDisease

--- library_name: transformers license: apache-2.0 base_model: facebook/dinov2-base tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: dino.dinov2-base-finetuned-SkinDisease results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagefolder config: default split: test args: default metrics: - name: Accuracy type: accuracy value: 0.8908523908523909 --- # dino.dinov2-base-finetuned-SkinDisease This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the imagefolder dataset. It achieves the following results on the evaluation set: - Loss: 0.3435 - Accuracy: 0.8909 ## 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: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 2.2161 | 1.0 | 27 | 1.5383 | 0.5312 | | 1.1701 | 2.0 | 54 | 1.1628 | 0.6455 | | 0.8324 | 3.0 | 81 | 0.7358 | 0.7630 | | 0.5762 | 4.0 | 108 | 0.5448 | 0.8170 | | 0.4404 | 5.0 | 135 | 0.5358 | 0.8191 | | 0.3303 | 6.0 | 162 | 0.4811 | 0.8565 | | 0.2800 | 7.0 | 189 | 0.4100 | 0.8680 | | 0.2230 | 8.0 | 216 | 0.3654 | 0.8919 | | 0.1406 | 9.0 | 243 | 0.3288 | 0.8940 | | 0.1432 | 10.0 | 270 | 0.3435 | 0.8909 | ### Framework versions - Transformers 5.5.4 - Pytorch 2.10.0+cu128 - Datasets 4.8.4 - Tokenizers 0.22.2