Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224-in22k_fold3
This model is a fine-tuned version of microsoft/swin-large-patch4-window7-224-in22k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.0927
- Accuracy: 0.6762
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: 1e-05
- 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: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.9966 | 1.0 | 923 | 1.1534 | 0.6024 |
1.0119 | 2.0 | 1846 | 0.9831 | 0.6535 |
1.0025 | 3.0 | 2769 | 0.9839 | 0.6576 |
0.7167 | 4.0 | 3692 | 0.9436 | 0.6803 |
0.5475 | 5.0 | 4615 | 0.9803 | 0.6730 |
0.4621 | 6.0 | 5538 | 0.9844 | 0.6735 |
0.3712 | 7.0 | 6461 | 1.0194 | 0.6732 |
0.3895 | 8.0 | 7384 | 1.0632 | 0.6724 |
0.3406 | 9.0 | 8307 | 1.0922 | 0.6743 |
0.3362 | 10.0 | 9230 | 1.0927 | 0.6762 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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