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README.md
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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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metrics:
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- accuracy
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model-index:
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- name: Garbage-Classification-SWIN-Transformer
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results: []
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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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# Garbage-Classification-SWIN-Transformer
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0440
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- Accuracy: 0.9900
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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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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| 0.1969 | 0.9973 | 280 | 0.1740 | 0.9409 |
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| 0.1014 | 1.9982 | 561 | 0.0752 | 0.9755 |
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| 0.0333 | 2.9991 | 842 | 0.0551 | 0.9824 |
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| 0.0332 | 4.0 | 1123 | 0.0526 | 0.9845 |
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| 0.0218 | 4.9973 | 1403 | 0.0511 | 0.9866 |
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| 0.0086 | 5.9982 | 1684 | 0.0515 | 0.9873 |
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| 0.0057 | 6.9991 | 1965 | 0.0462 | 0.9875 |
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| 0.0043 | 8.0 | 2246 | 0.0453 | 0.9891 |
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| 0.0012 | 8.9973 | 2526 | 0.0460 | 0.9888 |
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| 0.0017 | 9.9733 | 2800 | 0.0440 | 0.9900 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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