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--- |
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license: apache-2.0 |
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base_model: microsoft/swin-tiny-patch4-window7-224 |
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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-finetuned-student_six_classes |
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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: 0.9512578616352201 |
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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-finetuned-student_six_classes |
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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: 0.1187 |
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- Accuracy: 0.9513 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 0.1 |
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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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| 1.619 | 0.94 | 11 | 1.1587 | 0.4984 | |
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| 0.841 | 1.96 | 23 | 0.5082 | 0.7689 | |
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| 0.4154 | 2.98 | 35 | 0.2849 | 0.8868 | |
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| 0.3476 | 4.0 | 47 | 0.2089 | 0.9418 | |
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| 0.2414 | 4.94 | 58 | 0.1575 | 0.9450 | |
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| 0.2128 | 5.96 | 70 | 0.1226 | 0.9497 | |
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| 0.1783 | 6.98 | 82 | 0.1203 | 0.9481 | |
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| 0.167 | 8.0 | 94 | 0.1169 | 0.9528 | |
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| 0.1723 | 8.94 | 105 | 0.1184 | 0.9513 | |
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| 0.1838 | 9.36 | 110 | 0.1187 | 0.9513 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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