《5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks》 0.基础信息 image.png paper:https://arxiv.org/abs/2408.08345 code:https://github.com/leiyi-hu/mona keywords: #微调 #调优 #Tuning #finetune TLDR: 提出一种视觉的finetune的方法。并直接首次超过了full fin...
[LG]《LoRA vs Full Fine-tuning: An Illusion of Equivalence》R Shuttleworth, J Andreas, A Torralba, P Sharma [MIT CSAIL] (2024) http://t.cn/A6nje0c4 #机器学习##人工智能##论文#
Reminder I have read the README and searched the existing issues. System Info llamafactory 0.9.1.dev0 python 3.10 Reproduction Hello, I'm currently trying to perform full fine-tuning of Qwen2-VL using the following dataset_info.json. The...
This paper complements existing research by investigating how these techniques influence classification performance and computation costs compared to full fine-tuning. We focus specifically on multilingual text classification tasks (genre, framing, and persuasion techniques detection; with different input ...
The performance improved by 1%, however, there is still a gap of ~3% compared to full fine-tuning. 👍 2 Collaborator younesbelkada commented Jun 26, 2023 I see thanks for the experiments, can you also double check that the LoRA weights are set on the encoder as well? Also what ...
分析了SGD可以finetune LLM的原因,不用Adam改用SGD,在SGD的基础上提出了一个LOw-Memory Optimization(LOMO)的优化器,来全参数finetune LLM,并在下游任务上获得了比lora等更好的效果。(可能因为资源问题没对比Adam的全参数finetune的结果,这个还不够有说服力)8张3090能微调65B的模型了 ...
As the scale of vision models continues to grow, the emergence of Visual Prompt Tuning (VPT) as a parameter-efficient transfer learning technique has gained attention due to its superior performance compared to traditional full-finetuning. However, the conditions favoring VPT (the ``when") and ...
我对此保留疑问。作者没有证明这个说法。 本文在对数据集操作时,都各自使用了不同的数据增强。因此,针对具体的医学图像,要选用相应的数据增强方式,才能避免一些误差。 论文链接 Convolutional neural networks for medical image analysis: Full training or fine tuning?
full-parameter tuning can be prohibitively expensive. To mitigate this, recent research has shifted towards more parameter-efficient fine-tuning methods. Methods such as adapter tuning [15], which involves adding small trainable modules, and prompt tuning [16], where the input sequence is strategical...
- [LoRA and QLoRA fine-tuning](https://github.com/ml-explore/mlx-examples/blob/main/llms/mlx_lm/LORA.md) - [LoRA, QLoRA, and full fine-tuning](https://github.com/ml-explore/mlx-examples/blob/main/llms/mlx_lm/LORA.md) - [Merging models](https://github.com/ml-explore/mlx-examp...