| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - image_folder | |
| metrics: | |
| - f1 | |
| base_model: facebook/deit-tiny-patch16-224 | |
| model-index: | |
| - name: test | |
| results: | |
| - task: | |
| type: image-classification | |
| name: Image Classification | |
| dataset: | |
| name: image_folder | |
| type: image_folder | |
| args: default | |
| metrics: | |
| - type: f1 | |
| value: 0.12404601272248332 | |
| name: F1 | |
| <!-- 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 | |
| This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the image_folder dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.2724 | |
| - F1: 0.1240 | |
| ## 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: 2e-05 | |
| - train_batch_size: 4 | |
| - eval_batch_size: 4 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 0.001 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | No log | 0.0 | 1 | 2.2724 | 0.1240 | | |
| ### Framework versions | |
| - Transformers 4.17.0 | |
| - Pytorch 1.11.0 | |
| - Datasets 2.0.0 | |
| - Tokenizers 0.11.6 | |