dchen0/font-classifier-v3

dchen0/font-classifier

Merged DINOv2‑base checkpoint with LoRA weights for font classification.

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This model is a fine-tuned version of 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: -learningrate 1e-4 -lorarank 8 -loraalpha 16 -loradropout 0.1

• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear

Framework versions

• —PEFT 0.15.2
• —Transformers 4.52.4
• —Pytorch 2.7.1
• —Datasets 3.6.0
• —Tokenizers 0.21.1