| | --- |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - image_folder |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: vit_flyswot_test |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | dataset: |
| | name: image_folder |
| | type: image_folder |
| | args: default |
| | metrics: |
| | - name: F1 |
| | type: f1 |
| | value: 0.849172221610369 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # vit_flyswot_test |
| |
|
| | This model is a fine-tuned version of [](https://huggingface.co/) on the image_folder dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4777 |
| | - F1: 0.8492 |
| | |
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 666 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | No log | 1.0 | 52 | 1.2007 | 0.3533 | |
| | | No log | 2.0 | 104 | 1.0037 | 0.5525 | |
| | | No log | 3.0 | 156 | 0.8301 | 0.6318 | |
| | | No log | 4.0 | 208 | 0.7224 | 0.6946 | |
| | | No log | 5.0 | 260 | 0.7298 | 0.7145 | |
| | | No log | 6.0 | 312 | 0.6328 | 0.7729 | |
| | | No log | 7.0 | 364 | 0.6010 | 0.7992 | |
| | | No log | 8.0 | 416 | 0.5174 | 0.8364 | |
| | | No log | 9.0 | 468 | 0.5084 | 0.8479 | |
| | | 0.6372 | 10.0 | 520 | 0.4777 | 0.8492 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.17.0.dev0 |
| | - Pytorch 1.10.0+cu111 |
| | - Datasets 1.18.3 |
| | - Tokenizers 0.11.6 |
| | |
