Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224_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: 1.1733
- Accuracy: 0.6654
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 |
---|---|---|---|---|
1.1578 | 1.0 | 924 | 1.1827 | 0.5935 |
0.9384 | 2.0 | 1848 | 1.0458 | 0.6437 |
0.9513 | 3.0 | 2772 | 0.9737 | 0.6665 |
0.6634 | 4.0 | 3696 | 1.0015 | 0.6676 |
0.6268 | 5.0 | 4620 | 0.9964 | 0.6765 |
0.5239 | 6.0 | 5544 | 1.0639 | 0.6681 |
0.3603 | 7.0 | 6468 | 1.0932 | 0.6746 |
0.3057 | 8.0 | 7392 | 1.1360 | 0.6668 |
0.2497 | 9.0 | 8316 | 1.1511 | 0.6665 |
0.2212 | 10.0 | 9240 | 1.1733 | 0.6654 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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