| --- |
| 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 |
| --- |
| |
| <!-- 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 |
| |
