dinov2-large-2024_01_14-without_data_aug_batch-size32_epochs20_freeze
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: 0.0904
- F1 Micro: 0.8447
- F1 Macro: 0.7156
- Roc Auc: 0.9011
- Accuracy: 0.5459
- Learning Rate: 0.0001
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 | Accuracy | F1 Macro | F1 Micro | Validation Loss | Roc Auc | Rate |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 274 | 0.4696 | 0.5445 | 0.7663 | 0.1265 | 0.8401 | 0.001 |
0.2337 | 2.0 | 548 | 0.5115 | 0.6504 | 0.8026 | 0.1108 | 0.8694 | 0.001 |
0.2337 | 3.0 | 822 | 0.5178 | 0.6963 | 0.8184 | 0.1064 | 0.8804 | 0.001 |
0.1259 | 4.0 | 1096 | 0.5188 | 0.6838 | 0.8164 | 0.1062 | 0.8808 | 0.001 |
0.1259 | 5.0 | 1370 | 0.4965 | 0.6749 | 0.8157 | 0.1069 | 0.8849 | 0.001 |
0.1181 | 6.0 | 1644 | 0.5213 | 0.6806 | 0.8223 | 0.1028 | 0.8816 | 0.001 |
0.1181 | 7.0 | 1918 | 0.5269 | 0.6718 | 0.8253 | 0.0992 | 0.8857 | 0.001 |
0.1146 | 8.0 | 2192 | 0.5216 | 0.6811 | 0.8224 | 0.1004 | 0.8815 | 0.001 |
0.1146 | 9.0 | 2466 | 0.5230 | 0.6845 | 0.8302 | 0.1019 | 0.8923 | 0.001 |
0.1123 | 10.0 | 2740 | 0.5279 | 0.6775 | 0.8181 | 0.1021 | 0.8754 | 0.001 |
0.11 | 11.0 | 3014 | 0.5429 | 0.6897 | 0.8290 | 0.0960 | 0.8815 | 0.001 |
0.11 | 12.0 | 3288 | 0.5373 | 0.6825 | 0.8316 | 0.0967 | 0.8896 | 0.001 |
0.1098 | 13.0 | 3562 | 0.5328 | 0.6961 | 0.8254 | 0.1009 | 0.8838 | 0.001 |
0.1098 | 14.0 | 3836 | 0.0992 | 0.8278 | 0.7092 | 0.8834 | 0.5331 | 0.001 |
0.1166 | 15.0 | 4110 | 0.0991 | 0.8230 | 0.6923 | 0.8796 | 0.5335 | 0.001 |
0.1166 | 16.0 | 4384 | 0.0918 | 0.8395 | 0.7124 | 0.8932 | 0.5391 | 0.0001 |
0.1072 | 17.0 | 4658 | 0.0907 | 0.8439 | 0.7179 | 0.8990 | 0.5471 | 0.0001 |
0.1072 | 18.0 | 4932 | 0.0891 | 0.8441 | 0.7237 | 0.8971 | 0.5447 | 0.0001 |
0.1017 | 19.0 | 5206 | 0.0892 | 0.8479 | 0.7277 | 0.9027 | 0.5478 | 0.0001 |
0.1017 | 20.0 | 5480 | 0.0883 | 0.8484 | 0.7310 | 0.9043 | 0.5509 | 0.0001 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.15.0
- Downloads last month
- 2
Model tree for lombardata/dinov2-large-2024_01_14-without_data_aug_batch-size32_epochs20_freeze
Base model
facebook/dinov2-large
Finetuned
this model