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README.md

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 # Lora Fine-Tune of Qwen2.5-VL-3B-Instruct on ComicsPAP datataset
 
-[Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) fine-tunened simultaneously in all five tasks of the [ComicsPAP](https://huggingface.co/datasets/VLR-CVC/ComicsPAP) dataset.
+[Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) fine-tuned simultaneously in all five tasks of the [ComicsPAP](https://huggingface.co/datasets/VLR-CVC/ComicsPAP) dataset.
 The training was performed using a constant learning rate of 2e-4 with the AdamW optimizer. The model was trained for 5k steps using an effective batch size of 128. The LoRA configuration employed an α of 16, a dropout rate of 0.05, and a rank r = 8.
 
 ## Results