| | --- |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - imagefolder |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: swin-tiny-patch4-window7-224 |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | dataset: |
| | name: imagefolder |
| | type: imagefolder |
| | config: default |
| | split: train |
| | args: default |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.6845918083031485 |
| | --- |
| | |
| | <!-- 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-tiny-patch4-window7-224 |
| |
|
| | This model was trained from scratch on the imagefolder dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8630 |
| | - Accuracy: 0.6846 |
| |
|
| | ## 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: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 1.3586 | 1.0 | 252 | 1.2051 | 0.5403 | |
| | | 1.2281 | 2.0 | 505 | 1.0535 | 0.6108 | |
| | | 1.148 | 3.0 | 757 | 0.9985 | 0.6194 | |
| | | 1.087 | 4.0 | 1010 | 0.9658 | 0.6361 | |
| | | 1.1121 | 5.0 | 1262 | 0.9203 | 0.6539 | |
| | | 1.0127 | 6.0 | 1515 | 0.9245 | 0.6567 | |
| | | 0.9858 | 7.0 | 1767 | 0.8846 | 0.6757 | |
| | | 0.9948 | 8.0 | 2020 | 0.8793 | 0.6748 | |
| | | 0.9398 | 9.0 | 2272 | 0.8671 | 0.6765 | |
| | | 0.9904 | 9.98 | 2520 | 0.8630 | 0.6846 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.0 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.14.1 |
| |
|
