swinv2-tiny-patch4-window8-256-dmae-va-U5-42B
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9637
- Accuracy: 0.6667
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: 4e-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 | 7.8663 | 0.1167 |
| 6.936 | 1.94 | 15 | 7.7572 | 0.1167 |
| 6.936 | 2.97 | 23 | 7.1790 | 0.1167 |
| 6.7016 | 4.0 | 31 | 5.9033 | 0.1167 |
| 5.5439 | 4.9 | 38 | 4.6116 | 0.1167 |
| 5.5439 | 5.94 | 46 | 3.2830 | 0.1167 |
| 3.6477 | 6.97 | 54 | 2.2014 | 0.1167 |
| 2.2506 | 8.0 | 62 | 1.5647 | 0.45 |
| 2.2506 | 8.9 | 69 | 1.3160 | 0.45 |
| 1.5088 | 9.94 | 77 | 1.3676 | 0.3333 |
| 1.3868 | 10.97 | 85 | 1.3390 | 0.45 |
| 1.3868 | 12.0 | 93 | 1.3223 | 0.3833 |
| 1.351 | 12.9 | 100 | 1.3156 | 0.45 |
| 1.3271 | 13.94 | 108 | 1.3485 | 0.4833 |
| 1.3271 | 14.97 | 116 | 1.2646 | 0.4833 |
| 1.2322 | 16.0 | 124 | 1.2308 | 0.4833 |
| 1.2322 | 16.9 | 131 | 1.2160 | 0.5 |
| 1.22 | 17.94 | 139 | 1.2015 | 0.5 |
| 1.1899 | 18.97 | 147 | 1.2008 | 0.5 |
| 1.1899 | 20.0 | 155 | 1.1606 | 0.5 |
| 1.109 | 20.9 | 162 | 1.1182 | 0.5667 |
| 1.0603 | 21.94 | 170 | 1.0855 | 0.5333 |
| 1.0603 | 22.97 | 178 | 1.0763 | 0.5667 |
| 1.0264 | 24.0 | 186 | 1.1153 | 0.5833 |
| 1.0086 | 24.9 | 193 | 1.0770 | 0.65 |
| 1.0086 | 25.94 | 201 | 1.0041 | 0.6167 |
| 0.9301 | 26.97 | 209 | 0.9637 | 0.6667 |
| 0.9077 | 28.0 | 217 | 0.9824 | 0.5833 |
| 0.9077 | 28.9 | 224 | 0.9485 | 0.6 |
| 0.8725 | 29.94 | 232 | 0.9294 | 0.6167 |
| 0.8203 | 30.97 | 240 | 0.9348 | 0.6167 |
| 0.8203 | 32.0 | 248 | 0.9295 | 0.6 |
| 0.8211 | 32.9 | 255 | 0.9167 | 0.6 |
| 0.8211 | 33.94 | 263 | 0.9281 | 0.5833 |
| 0.7916 | 34.97 | 271 | 0.8803 | 0.6333 |
| 0.7822 | 36.0 | 279 | 0.8785 | 0.6333 |
| 0.7822 | 36.9 | 286 | 0.8906 | 0.6 |
| 0.7937 | 37.94 | 294 | 0.8899 | 0.6 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for Augusto777/swinv2-tiny-patch4-window8-256-dmae-va-U5-42B
Base model
microsoft/swinv2-tiny-patch4-window8-256