--- library_name: transformers license: apache-2.0 base_model: hustvl/yolos-small tags: - generated_from_trainer model-index: - name: Logo-Detection-finetune results: [] --- [Visualize in Weights & Biases](https://wandb.ai/ella-bettison/logo_extraction/runs/4k33h7px) # Logo-Detection-finetune This model is a fine-tuned version of [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small) on an unknown dataset. ## 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: 8 - eval_batch_size: 8 - seed: 42 - 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: 100 - num_epochs: 20 ### Framework versions - Transformers 4.49.0.dev0 - Pytorch 2.5.1+cu121 - Tokenizers 0.21.0