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--- |
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license: apache-2.0 |
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pipeline_tag: image-classification |
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library_name: transformers |
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tags: |
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- dinov2 |
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- image-classification |
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- fonts |
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datasets: |
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- dchen0/font_crops_v3 |
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language: |
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- en |
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base_model: |
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- facebook/dinov2-base |
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--- |
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# dchen0/font-classifier |
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Merged DINOv2‑base checkpoint with LoRA weights for font classification. |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3446824550628662 |
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- Accuracy: 0.5903 |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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-learning_rate 1e-4 |
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-lora_rank 8 |
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-lora_alpha 16 |
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-lora_dropout 0.1 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.52.4 |
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- Pytorch 2.7.1 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
