Boya1_SGD_1e3_20Epoch_Swin-large-224_fold1
This model is a fine-tuned version of microsoft/swin-large-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 2.1316
- Accuracy: 0.3288
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
2.6134 | 1.0 | 924 | 2.5724 | 0.1941 |
2.5066 | 2.0 | 1848 | 2.4917 | 0.1947 |
2.5572 | 3.0 | 2772 | 2.4417 | 0.1971 |
2.3516 | 4.0 | 3696 | 2.4048 | 0.2080 |
2.4257 | 5.0 | 4620 | 2.3743 | 0.2332 |
2.3129 | 6.0 | 5544 | 2.3404 | 0.2411 |
2.2992 | 7.0 | 6468 | 2.3155 | 0.2636 |
2.266 | 8.0 | 7392 | 2.2914 | 0.2683 |
2.2389 | 9.0 | 8316 | 2.2655 | 0.2778 |
2.2861 | 10.0 | 9240 | 2.2421 | 0.2873 |
2.2192 | 11.0 | 10164 | 2.2250 | 0.2905 |
2.2057 | 12.0 | 11088 | 2.2046 | 0.2984 |
2.0519 | 13.0 | 12012 | 2.1880 | 0.3046 |
2.1151 | 14.0 | 12936 | 2.1736 | 0.3144 |
2.1116 | 15.0 | 13860 | 2.1599 | 0.3204 |
2.0726 | 16.0 | 14784 | 2.1517 | 0.3234 |
2.1017 | 17.0 | 15708 | 2.1408 | 0.3272 |
2.051 | 18.0 | 16632 | 2.1358 | 0.3285 |
2.0423 | 19.0 | 17556 | 2.1327 | 0.3296 |
2.0517 | 20.0 | 18480 | 2.1316 | 0.3288 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.1+cu121
- Datasets 2.21.0
- Tokenizers 0.13.2
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Model tree for onizukal/Boya1_SGD_1e3_20Epoch_Swin-large-224_fold1
Base model
microsoft/swin-large-patch4-window7-224