| tags: | |
| - image-classification | |
| - generated_from_trainer | |
| datasets: | |
| - image_folder | |
| model-index: | |
| - name: swin_cont | |
| 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. --> | |
| # 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 | |