Boya1_RMSProp_1-e5_10Epoch_swinv2-base-patch4_fold3
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.2468
- Accuracy: 0.6860
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 |
---|---|---|---|---|
1.1 | 1.0 | 923 | 1.0990 | 0.6229 |
0.9779 | 2.0 | 1846 | 1.0118 | 0.6543 |
0.9944 | 3.0 | 2769 | 0.9488 | 0.6754 |
0.631 | 4.0 | 3692 | 0.9753 | 0.6811 |
0.5514 | 5.0 | 4615 | 1.0021 | 0.6857 |
0.4562 | 6.0 | 5538 | 1.0257 | 0.6865 |
0.508 | 7.0 | 6461 | 1.0938 | 0.6868 |
0.327 | 8.0 | 7384 | 1.2162 | 0.6819 |
0.3783 | 9.0 | 8307 | 1.2220 | 0.6843 |
0.2797 | 10.0 | 9230 | 1.2468 | 0.6860 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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