Dinov2 Base Finetuned FetalPlane

--- library_name: transformers license: apache-2.0 base_model: facebook/dinov2-base tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: dinov2-base-finetuned-FetalPlane results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # dinov2-base-finetuned-FetalPlane 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: 0.1769 - Accuracy: 0.9517 - F1 Weighted: 0.9518 - F1 Macro: 0.9518 ## 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: 64 - eval_batch_size: 64 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 256 - optimizer: Use OptimizerNames.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_ratio: 0.1 - num_epochs: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted | F1 Macro | |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:| | 0.2269 | 1.0 | 44 | 0.1455 | 0.9502 | 0.9503 | 0.9503 | | 0.1978 | 2.0 | 88 | 0.1596 | 0.9657 | 0.9653 | 0.9653 | | 0.1463 | 3.0 | 132 | 0.2872 | 0.9128 | 0.9125 | 0.9125 | | 0.1225 | 4.0 | 176 | 0.1712 | 0.9517 | 0.9522 | 0.9522 | | 0.0866 | 5.0 | 220 | 0.1769 | 0.9517 | 0.9518 | 0.9518 | ### Framework versions - Transformers 4.47.0 - Pytorch 2.10.0+cu128 - Datasets 4.8.5 - Tokenizers 0.21.4