| --- |
| license: apache-2.0 |
| pipeline_tag: image-classification |
| library_name: transformers |
| tags: |
| - dinov2 |
| - image-classification |
| - fonts |
| datasets: |
| - dchen0/font_crops_v3 |
| language: |
| - en |
| base_model: |
| - facebook/dinov2-base |
| --- |
| |
| # dchen0/font-classifier |
| Merged DINOv2‑base checkpoint with LoRA weights for font classification. |
|
|
| <!-- 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. --> |
|
|
| This model is a fine-tuned version of [facebook/dinov2-base-imagenet1k-1-layer](https://huggingface.co/facebook/dinov2-base-imagenet1k-1-layer) on the imagefolder dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3446824550628662 |
| - Accuracy: 0.5903 |
|
|
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| -learning_rate 1e-4 |
| -lora_rank 8 |
| -lora_alpha 16 |
| -lora_dropout 0.1 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
|
|
| ### Framework versions |
|
|
| - PEFT 0.15.2 |
| - Transformers 4.52.4 |
| - Pytorch 2.7.1 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
