dino-large-2023_12_15-with_custom_head
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: 0.1159
- F1 Micro: 0.8297
- F1 Macro: 0.7800
- Roc Auc: 0.8880
- Accuracy: 0.5435
- Learning Rate: 0.001
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: 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 | 0.1749 | 0.6911 | 0.5979 | 0.7869 | 0.4355 | 0.01 |
0.2108 | 2.0 | 536 | 0.1887 | 0.6448 | 0.5545 | 0.7473 | 0.4330 | 0.01 |
0.2108 | 3.0 | 804 | 0.1639 | 0.7291 | 0.5960 | 0.8089 | 0.4223 | 0.01 |
0.1888 | 4.0 | 1072 | 0.1676 | 0.7426 | 0.6583 | 0.8357 | 0.4416 | 0.01 |
0.1888 | 5.0 | 1340 | 0.1619 | 0.7133 | 0.6050 | 0.7932 | 0.4527 | 0.01 |
0.1877 | 6.0 | 1608 | 0.1532 | 0.7497 | 0.6624 | 0.8279 | 0.4691 | 0.01 |
0.1877 | 7.0 | 1876 | 0.1690 | 0.7409 | 0.6522 | 0.8402 | 0.3758 | 0.01 |
0.1845 | 8.0 | 2144 | 0.1461 | 0.7830 | 0.6987 | 0.8601 | 0.4770 | 0.01 |
0.1845 | 9.0 | 2412 | 0.1533 | 0.7629 | 0.7143 | 0.8392 | 0.4659 | 0.01 |
0.1845 | 10.0 | 2680 | 0.1703 | 0.7335 | 0.6227 | 0.8306 | 0.4234 | 0.01 |
0.1845 | 11.0 | 2948 | 0.1714 | 0.7191 | 0.6140 | 0.8054 | 0.4455 | 0.01 |
0.1871 | 12.0 | 3216 | 0.1538 | 0.7677 | 0.6816 | 0.8427 | 0.4562 | 0.01 |
0.1871 | 13.0 | 3484 | 0.1533 | 0.7673 | 0.6923 | 0.8508 | 0.4573 | 0.01 |
0.1881 | 14.0 | 3752 | 0.1572 | 0.7550 | 0.6424 | 0.8395 | 0.4584 | 0.01 |
0.1768 | 15.0 | 4020 | 0.1300 | 0.8118 | 0.7646 | 0.8766 | 0.5248 | 0.001 |
0.1768 | 16.0 | 4288 | 0.1237 | 0.8229 | 0.7727 | 0.8838 | 0.5277 | 0.001 |
0.1499 | 17.0 | 4556 | 0.1218 | 0.8285 | 0.7891 | 0.8933 | 0.5348 | 0.001 |
0.1499 | 18.0 | 4824 | 0.1193 | 0.8285 | 0.7831 | 0.8902 | 0.5284 | 0.001 |
0.1424 | 19.0 | 5092 | 0.1182 | 0.8298 | 0.7778 | 0.8849 | 0.5445 | 0.001 |
0.1424 | 20.0 | 5360 | 0.1182 | 0.8286 | 0.7698 | 0.8827 | 0.5395 | 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_15-with_custom_head
Base model
facebook/dinov2-large
Finetuned
this model