swin-tiny-patch4-window7-224-dmae-va-U5-42B
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7189
- Accuracy: 0.7667
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 42
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 0.9 | 7 | 1.6573 | 0.1167 |
1.5376 | 1.94 | 15 | 1.5974 | 0.1167 |
1.4718 | 2.97 | 23 | 1.4168 | 0.1167 |
1.3557 | 4.0 | 31 | 1.2830 | 0.45 |
1.3557 | 4.9 | 38 | 1.2193 | 0.45 |
1.2189 | 5.94 | 46 | 1.0932 | 0.5 |
1.1132 | 6.97 | 54 | 0.9622 | 0.65 |
0.9671 | 8.0 | 62 | 0.8943 | 0.6167 |
0.9671 | 8.9 | 69 | 0.7767 | 0.7 |
0.8402 | 9.94 | 77 | 0.8288 | 0.6167 |
0.7153 | 10.97 | 85 | 0.7101 | 0.7167 |
0.64 | 12.0 | 93 | 0.7146 | 0.75 |
0.5653 | 12.9 | 100 | 0.8075 | 0.6667 |
0.5653 | 13.94 | 108 | 0.6274 | 0.75 |
0.4914 | 14.97 | 116 | 0.6952 | 0.7167 |
0.4542 | 16.0 | 124 | 0.9034 | 0.6333 |
0.4263 | 16.9 | 131 | 0.7039 | 0.7333 |
0.4263 | 17.94 | 139 | 0.7514 | 0.7 |
0.3796 | 18.97 | 147 | 0.8074 | 0.7 |
0.3455 | 20.0 | 155 | 0.7189 | 0.7667 |
0.2995 | 20.9 | 162 | 0.7582 | 0.7333 |
0.3143 | 21.94 | 170 | 0.7938 | 0.7167 |
0.3143 | 22.97 | 178 | 0.8181 | 0.7 |
0.2768 | 24.0 | 186 | 0.8045 | 0.7333 |
0.3009 | 24.9 | 193 | 0.7281 | 0.7167 |
0.2419 | 25.94 | 201 | 0.8014 | 0.7 |
0.2419 | 26.97 | 209 | 0.8608 | 0.7333 |
0.2528 | 28.0 | 217 | 0.9163 | 0.7 |
0.2257 | 28.9 | 224 | 0.8970 | 0.7167 |
0.2133 | 29.94 | 232 | 0.9016 | 0.7333 |
0.2113 | 30.97 | 240 | 0.9065 | 0.7167 |
0.2113 | 32.0 | 248 | 0.9403 | 0.75 |
0.2005 | 32.9 | 255 | 0.9440 | 0.7333 |
0.1825 | 33.94 | 263 | 0.9553 | 0.7167 |
0.2109 | 34.97 | 271 | 0.9528 | 0.7 |
0.2109 | 36.0 | 279 | 0.9380 | 0.7 |
0.1755 | 36.9 | 286 | 0.9309 | 0.7 |
0.1859 | 37.94 | 294 | 0.9335 | 0.7 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
- Downloads last month
- 4