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--- |
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license: apache-2.0 |
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base_model: microsoft/swin-large-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: Boya1_SGD_1e3_20Epoch_Swin-large-224_fold1 |
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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: 0.3288080369264187 |
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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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# Boya1_SGD_1e3_20Epoch_Swin-large-224_fold1 |
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This model is a fine-tuned version of [microsoft/swin-large-patch4-window7-224](https://huggingface.co/microsoft/swin-large-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: 2.1316 |
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- Accuracy: 0.3288 |
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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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| 2.6134 | 1.0 | 924 | 2.5724 | 0.1941 | |
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| 2.5066 | 2.0 | 1848 | 2.4917 | 0.1947 | |
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| 2.5572 | 3.0 | 2772 | 2.4417 | 0.1971 | |
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| 2.3516 | 4.0 | 3696 | 2.4048 | 0.2080 | |
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| 2.4257 | 5.0 | 4620 | 2.3743 | 0.2332 | |
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| 2.3129 | 6.0 | 5544 | 2.3404 | 0.2411 | |
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| 2.2992 | 7.0 | 6468 | 2.3155 | 0.2636 | |
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| 2.266 | 8.0 | 7392 | 2.2914 | 0.2683 | |
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| 2.2389 | 9.0 | 8316 | 2.2655 | 0.2778 | |
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| 2.2861 | 10.0 | 9240 | 2.2421 | 0.2873 | |
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| 2.2192 | 11.0 | 10164 | 2.2250 | 0.2905 | |
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| 2.2057 | 12.0 | 11088 | 2.2046 | 0.2984 | |
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| 2.0519 | 13.0 | 12012 | 2.1880 | 0.3046 | |
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| 2.1151 | 14.0 | 12936 | 2.1736 | 0.3144 | |
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| 2.1116 | 15.0 | 13860 | 2.1599 | 0.3204 | |
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| 2.0726 | 16.0 | 14784 | 2.1517 | 0.3234 | |
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| 2.1017 | 17.0 | 15708 | 2.1408 | 0.3272 | |
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| 2.051 | 18.0 | 16632 | 2.1358 | 0.3285 | |
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| 2.0423 | 19.0 | 17556 | 2.1327 | 0.3296 | |
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| 2.0517 | 20.0 | 18480 | 2.1316 | 0.3288 | |
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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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