Create README.md

README.md

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+---
+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