swin-tiny-patch4-window7-224-dmae-va-U5-42
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on Augusto777/dmae-ve-U5 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6653
- Accuracy: 0.75
Model description
Model for multiclass detection of age-related macular degeneration.
Intended uses & limitations
Destined to support medical diagnosis.
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 | 1.3831 | 0.45 |
1.3852 | 1.94 | 15 | 1.3624 | 0.45 |
1.3728 | 2.97 | 23 | 1.2927 | 0.4667 |
1.2791 | 4.0 | 31 | 1.1182 | 0.4833 |
1.2791 | 4.9 | 38 | 1.0065 | 0.4667 |
1.094 | 5.94 | 46 | 0.8931 | 0.6 |
0.9601 | 6.97 | 54 | 0.9210 | 0.4833 |
0.8598 | 8.0 | 62 | 0.9478 | 0.5167 |
0.8598 | 8.9 | 69 | 0.8558 | 0.5833 |
0.7558 | 9.94 | 77 | 0.9259 | 0.65 |
0.6696 | 10.97 | 85 | 0.7953 | 0.6167 |
0.6079 | 12.0 | 93 | 0.7281 | 0.7 |
0.516 | 12.9 | 100 | 0.8552 | 0.6667 |
0.516 | 13.94 | 108 | 0.6653 | 0.75 |
0.4475 | 14.97 | 116 | 0.7548 | 0.6833 |
0.4152 | 16.0 | 124 | 0.7556 | 0.7167 |
0.3759 | 16.9 | 131 | 0.7038 | 0.7333 |
0.3759 | 17.94 | 139 | 0.7356 | 0.7167 |
0.3366 | 18.97 | 147 | 0.6650 | 0.75 |
0.3212 | 20.0 | 155 | 0.7668 | 0.7167 |
0.2903 | 20.9 | 162 | 0.7997 | 0.6833 |
0.312 | 21.94 | 170 | 0.7473 | 0.7167 |
0.312 | 22.97 | 178 | 0.8479 | 0.7 |
0.2488 | 24.0 | 186 | 0.8070 | 0.7 |
0.283 | 24.9 | 193 | 0.8080 | 0.6833 |
0.2109 | 25.94 | 201 | 0.8220 | 0.7 |
0.2109 | 26.97 | 209 | 0.8354 | 0.7167 |
0.2215 | 28.0 | 217 | 0.8668 | 0.7 |
0.2067 | 28.9 | 224 | 0.8479 | 0.75 |
0.1967 | 29.94 | 232 | 0.8868 | 0.7167 |
0.1948 | 30.97 | 240 | 0.8883 | 0.7 |
0.1948 | 32.0 | 248 | 0.8612 | 0.7333 |
0.186 | 32.9 | 255 | 0.8860 | 0.7333 |
0.1662 | 33.94 | 263 | 0.9057 | 0.75 |
0.1773 | 34.97 | 271 | 0.9140 | 0.7167 |
0.1773 | 36.0 | 279 | 0.9013 | 0.7333 |
0.1519 | 36.9 | 286 | 0.8869 | 0.75 |
0.1775 | 37.94 | 294 | 0.8840 | 0.7333 |
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/swin-tiny-patch4-window7-224-dmae-va-U5-42
Base model
microsoft/swin-tiny-patch4-window7-224
Finetuned
this model