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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: swin-tiny-patch4-window7-224-bottom_cleaned_data |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9726247987117552 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# swin-tiny-patch4-window7-224-bottom_cleaned_data |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0839 |
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- Accuracy: 0.9726 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4444 | 1.0 | 174 | 0.2271 | 0.9163 | |
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| 0.3518 | 2.0 | 349 | 0.2449 | 0.9034 | |
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| 0.225 | 3.0 | 523 | 0.1325 | 0.9501 | |
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| 0.2195 | 4.0 | 698 | 0.1024 | 0.9549 | |
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| 0.2627 | 5.0 | 872 | 0.1046 | 0.9630 | |
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| 0.142 | 6.0 | 1047 | 0.0839 | 0.9726 | |
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| 0.1516 | 7.0 | 1221 | 0.0918 | 0.9630 | |
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| 0.1498 | 8.0 | 1396 | 0.0780 | 0.9726 | |
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| 0.1189 | 9.0 | 1570 | 0.0721 | 0.9662 | |
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| 0.1594 | 9.97 | 1740 | 0.0668 | 0.9726 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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