dinov2-base-MEG4-6
This model is a fine-tuned version of facebook/dinov2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4166
- Accuracy: 0.8107
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1517 | 1.0000 | 11596 | 1.0708 | 0.7685 |
| 0.1411 | 2.0000 | 23192 | 0.9791 | 0.7985 |
| 0.0951 | 2.9999 | 34788 | 1.2306 | 0.8006 |
| 0.0602 | 4.0 | 46385 | 1.1623 | 0.7970 |
| 0.0314 | 5.0000 | 57981 | 1.4054 | 0.8065 |
| 0.0233 | 5.9999 | 69576 | 1.4166 | 0.8107 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
facebook/dinov2-base