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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: microsoft/swin-base-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: swin-base-patch4-window7-224_rice-disease-02_112024
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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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# swin-base-patch4-window7-224_rice-disease-02_112024
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This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-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: 0.4398
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- Accuracy: 0.8563
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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: 0.0003
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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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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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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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| 1.2332 | 1.0 | 212 | 0.6265 | 0.8090 |
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| 0.5399 | 2.0 | 424 | 0.4724 | 0.8516 |
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| 0.4542 | 3.0 | 636 | 0.4398 | 0.8563 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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logs/events.out.tfevents.1732076461.8509c748c7ec.2307.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 7995
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