--- tags: - image-classification - generated_from_trainer datasets: - image_folder model-index: - name: swin_cont results: [] --- # swin_cont This model was trained from scratch on the zindi dataset. It achieves the following results on the evaluation set: - eval_loss: 0.4766 - eval_accuracy: 0.7545 - eval_runtime: 236.8539 - eval_samples_per_second: 16.352 - eval_steps_per_second: 0.515 - epoch: 2.0 - step: 347 ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 50 ### Framework versions - Transformers 4.36.0 - Pytorch 2.0.0 - Datasets 2.1.0 - Tokenizers 0.15.0