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--- |
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license: apache-2.0 |
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base_model: microsoft/swin-large-patch4-window7-224-in22k |
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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: Boya2_SGD_1e3_20Epoch_Swin-large-224_fold2 |
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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: test |
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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: 0.46242142661929486 |
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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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# Boya2_SGD_1e3_20Epoch_Swin-large-224_fold2 |
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This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-large-patch4-window7-224-in22k) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7316 |
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- Accuracy: 0.4624 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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: 20 |
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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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| 2.613 | 1.0 | 913 | 2.5089 | 0.2774 | |
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| 2.2378 | 2.0 | 1826 | 2.3352 | 0.2938 | |
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| 2.1303 | 3.0 | 2739 | 2.2226 | 0.3184 | |
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| 2.0563 | 4.0 | 3652 | 2.1385 | 0.3506 | |
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| 2.1322 | 5.0 | 4565 | 2.0717 | 0.3758 | |
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| 2.004 | 6.0 | 5478 | 2.0113 | 0.3955 | |
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| 2.079 | 7.0 | 6391 | 1.9666 | 0.4130 | |
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| 1.78 | 8.0 | 7304 | 1.9230 | 0.4225 | |
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| 1.7925 | 9.0 | 8217 | 1.8877 | 0.4354 | |
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| 1.9366 | 10.0 | 9130 | 1.8567 | 0.4403 | |
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| 1.5845 | 11.0 | 10043 | 1.8338 | 0.4458 | |
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| 1.6846 | 12.0 | 10956 | 1.8079 | 0.4520 | |
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| 1.7316 | 13.0 | 11869 | 1.7920 | 0.4545 | |
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| 1.6397 | 14.0 | 12782 | 1.7737 | 0.4600 | |
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| 1.8114 | 15.0 | 13695 | 1.7580 | 0.4605 | |
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| 1.5862 | 16.0 | 14608 | 1.7502 | 0.4621 | |
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| 1.8464 | 17.0 | 15521 | 1.7422 | 0.4641 | |
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| 1.8008 | 18.0 | 16434 | 1.7370 | 0.4627 | |
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| 1.719 | 19.0 | 17347 | 1.7333 | 0.4632 | |
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| 1.5652 | 20.0 | 18260 | 1.7316 | 0.4624 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.13.2 |
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