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outputs_dinov3_Feb_2026
buddhadeb33/outputs_dinov3_Feb_2026
outputs_dinov3_Feb_2026 is a machine learning model from buddhadeb33. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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Updated Jan 30, 2026
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At a glance
- Library
- transformers
- License
- other
- Access
- Public
- Created
- Jan 30, 2026
- Updated
- Jan 30, 2026
- SHA
- 859bf91a
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
outputs_dinov3_Feb_2026
This model is a fine-tuned version of facebook/dinov3-vitb16-pretrain-lvd1689m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0333
- Precision: 0.9767
- Recall: 0.9674
- F1: 0.9720
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.2716 | 1.0 | 145 | 0.2500 | 0.8227 | 0.8235 | 0.8231 |
| 0.0681 | 2.0 | 290 | 0.0629 | 0.9597 | 0.9748 | 0.9672 |
| 0.0337 | 3.0 | 435 | 0.0409 | 0.9645 | 0.9706 | 0.9675 |
| 0.0294 | 4.0 | 580 | 0.0326 | 0.9619 | 0.9821 | 0.9719 |
| 0.0199 | 5.0 | 725 | 0.0286 | 0.9768 | 0.9748 | 0.9758 |
| 0.0198 | 6.0 | 870 | 0.0269 | 0.9790 | 0.9811 | 0.9801 |
| 0.0052 | 7.0 | 1015 | 0.0272 | 0.9810 | 0.9758 | 0.9784 |
| 0.0043 | 8.0 | 1160 | 0.0267 | 0.9760 | 0.9811 | 0.9785 |
| 0.0043 | 9.0 | 1305 | 0.0333 | 0.9767 | 0.9674 | 0.9720 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Library
- transformers
- License
- other
- Created
- Jan 30, 2026
- Updated
- Jan 30, 2026