Merged DINOv2‑base checkpoint with LoRA weights for font classification.
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:
The following hyperparameters were used during training:
-learning_rate 1e-4
-lora_rank 8
-lora_alpha 16
-lora_dropout 0.1
