| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - image_folder | |
| model_index: | |
| - name: test_model_a | |
| results: | |
| - task: | |
| name: Image Classification | |
| type: image-classification | |
| dataset: | |
| name: image_folder | |
| type: image_folder | |
| args: default | |
| base_model: lysandre/tiny-vit-random | |
| <!-- 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. --> | |
| # test_model_a | |
| This model is a fine-tuned version of [lysandre/tiny-vit-random](https://huggingface.co/lysandre/tiny-vit-random) on the image_folder 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - training_steps: 40 | |
| ### Framework versions | |
| - Transformers 4.8.2 | |
| - Pytorch 1.9.0+cu102 | |
| - Datasets 1.9.1.dev0 | |
| - Tokenizers 0.10.3 | |