| --- |
| license: apache-2.0 |
| base_model: microsoft/swin-tiny-patch4-window7-224 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - imagefolder |
| metrics: |
| - accuracy |
| model-index: |
| - name: swin-tiny-patch4-window7-224-Mid-NonMidMarket-Classification |
| 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: 0.9172749391727494 |
| --- |
| |
| <!-- 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-Mid-NonMidMarket-Classification |
|
|
| This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2099 |
| - Accuracy: 0.9173 |
|
|
| ## 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: 64 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 256 |
| - 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 | |
| |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | 0.2558 | 0.9836 | 30 | 0.2284 | 0.9124 | |
| | 0.2409 | 2.0 | 61 | 0.2099 | 0.9173 | |
| | 0.2151 | 2.9836 | 91 | 0.2273 | 0.9051 | |
| | 0.2085 | 4.0 | 122 | 0.2338 | 0.9002 | |
| | 0.1793 | 4.9836 | 152 | 0.2289 | 0.9051 | |
| | 0.1817 | 6.0 | 183 | 0.2174 | 0.9075 | |
| | 0.1852 | 6.9836 | 213 | 0.2230 | 0.9002 | |
| | 0.1739 | 8.0 | 244 | 0.2171 | 0.9100 | |
| | 0.1569 | 8.9836 | 274 | 0.2114 | 0.9148 | |
| | 0.1589 | 9.8361 | 300 | 0.2154 | 0.9100 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.42.3 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
|
|
