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dinov3-convnext-balanced_finalrun
m4dma8/dinov3-convnext-balanced_finalrun
dinov3-convnext-balanced_finalrun is a image feature extraction model from m4dma8. Use it for the image feature extraction 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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At a glance
- Task
- Image Feature Extraction
- Library
- transformers
- License
- other
- Model type
- dinov3_convnext
- Access
- Public
- Created
- Feb 15, 2026
- Updated
- Feb 15, 2026
- SHA
- 1a0d9fed
Base models
Datasets
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. -->
dinov3-convnext-balanced_finalrun
This model is a fine-tuned version of facebook/dinov3-convnext-large-pretrain-lvd1689m on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.4673
- Accuracy: 0.9843
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.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: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9440 | 1.0 | 144 | 0.8891 | 0.7799 |
| 0.6634 | 2.0 | 288 | 0.6514 | 0.8952 |
| 0.5604 | 3.0 | 432 | 0.5419 | 0.9520 |
| 0.4925 | 4.0 | 576 | 0.5211 | 0.9598 |
| 0.4478 | 5.0 | 720 | 0.4673 | 0.9843 |
| 0.4378 | 6.0 | 864 | 0.4588 | 0.9825 |
Framework versions
- Transformers 5.2.0.dev0
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Image Feature Extraction
- Library
- transformers
- Type
- dinov3_convnext
- License
- other
- Created
- Feb 15, 2026
- Updated
- Feb 15, 2026