dino-large-2023_12_18-kornia_img-size518_batch-size32_epochs20
This model is a fine-tuned version of facebook/dinov2-large on the multilabel_complete_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.1139
- F1 Micro: 0.8312
- F1 Macro: 0.7939
- Roc Auc: 0.8886
- Accuracy: 0.5276
- Learning Rate: 0.001
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.01
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Roc Auc | Accuracy | Rate |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 268 | 0.1825 | 0.6774 | 0.5984 | 0.7768 | 0.4237 | 0.01 |
0.2147 | 2.0 | 536 | 0.1749 | 0.7567 | 0.6636 | 0.8530 | 0.4309 | 0.01 |
0.2147 | 3.0 | 804 | 0.1555 | 0.7735 | 0.7210 | 0.8586 | 0.4469 | 0.01 |
0.1902 | 4.0 | 1072 | 0.1582 | 0.7546 | 0.6775 | 0.8368 | 0.4469 | 0.01 |
0.1902 | 5.0 | 1340 | 0.1599 | 0.7757 | 0.7218 | 0.8741 | 0.4323 | 0.01 |
0.1908 | 6.0 | 1608 | 0.1546 | 0.7598 | 0.6469 | 0.8373 | 0.4712 | 0.01 |
0.1908 | 7.0 | 1876 | 0.1502 | 0.7747 | 0.7194 | 0.8592 | 0.4566 | 0.01 |
0.1871 | 8.0 | 2144 | 0.1542 | 0.7759 | 0.7180 | 0.8669 | 0.4416 | 0.01 |
0.1871 | 9.0 | 2412 | 0.1494 | 0.7853 | 0.7134 | 0.8666 | 0.4812 | 0.01 |
0.1906 | 10.0 | 2680 | 0.1515 | 0.7530 | 0.6504 | 0.8264 | 0.4673 | 0.01 |
0.1906 | 11.0 | 2948 | 0.1578 | 0.7495 | 0.6769 | 0.8296 | 0.4387 | 0.01 |
0.1897 | 12.0 | 3216 | 0.1557 | 0.7757 | 0.6902 | 0.8594 | 0.4387 | 0.01 |
0.1897 | 13.0 | 3484 | 0.1612 | 0.7293 | 0.6498 | 0.8054 | 0.4530 | 0.01 |
0.1879 | 14.0 | 3752 | 0.1800 | 0.6633 | 0.5069 | 0.7571 | 0.4577 | 0.01 |
0.1902 | 15.0 | 4020 | 0.1674 | 0.7432 | 0.6672 | 0.8349 | 0.4541 | 0.01 |
0.1902 | 16.0 | 4288 | 0.1287 | 0.8137 | 0.7725 | 0.8764 | 0.5177 | 0.001 |
0.1612 | 17.0 | 4556 | 0.1246 | 0.8286 | 0.7943 | 0.8927 | 0.5227 | 0.001 |
0.1612 | 18.0 | 4824 | 0.1235 | 0.8271 | 0.7885 | 0.8856 | 0.5384 | 0.001 |
0.1479 | 19.0 | 5092 | 0.1203 | 0.8366 | 0.8018 | 0.8941 | 0.5423 | 0.001 |
0.1479 | 20.0 | 5360 | 0.1148 | 0.8330 | 0.7934 | 0.8852 | 0.5384 | 0.001 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for lombardata/dino-large-2023_12_18-kornia_img-size518_batch-size32_epochs20
Base model
facebook/dinov2-large
Finetuned
this model