Comments (5)
cmnfriend
commented on September 14, 2024
这里的lora是过去任务的lora参数，如果是第一次训练我们把这个lora的形状是设置为0的，可训的是lora_new
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psychocosine
commented on September 14, 2024
这里的lora是过去任务的lora参数，如果是第一次训练我们把这个lora的形状是设置为0的，可训的是lora_new
Lora_A和Lora_B会参与forward计算吗
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cmnfriend
commented on September 14, 2024
这里的lora是过去任务的lora参数，如果是第一次训练我们把这个lora的形状是设置为0的，可训的是lora_new
Lora_A和Lora_B会参与forward计算吗
会
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psychocosine
commented on September 14, 2024
这里的lora是过去任务的lora参数，如果是第一次训练我们把这个lora的形状是设置为0的，可训的是lora_new
Lora_A和Lora_B会参与forward计算吗
会
Lora_A和Lora_B在第二个任务后都是(768,8)和(8,768)的shape对吧？
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cmnfriend
commented on September 14, 2024
这里的lora是过去任务的lora参数，如果是第一次训练我们把这个lora的形状是设置为0的，可训的是lora_new
Lora_A和Lora_B会参与forward计算吗
会
Lora_A和Lora_B在第二个任务后都是(768,8)和(8,768)的shape对吧？
如果r设为8的话，第二个任务就是(dim, 8)和(8, dim)，第三个就是(dim, 16)和(16, dim)，以此类推。因为每次会把新训练的(dim, r)和(r, dim)与历史的合并，下一次训练时读入
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Related Issues (20)
- 关于长序列任务上的讨论 HOT 2
- 关于数据集 HOT 6
- 关于数据集加载的报错 HOT 1
- Loss在yahoo数据集上骤降为0
- 代码里的UIE是什么的缩写？ HOT 1
- Missing the parameter `r_sum` in class Linear8bitLt in lora.py
- 代码运行时在loss那里报错
- Thanks! Great Projects! Could you please provide the example to finetune llama-3-instruct-8B with O-LoRA？
- 有order4,5,6的脚本吗？ HOT 3
- 运行报错
- llama2的结果比论文中的llama1的结果低 HOT 1
- llama2 结果复现 HOT 4
- 关于standard benchmark
- 如何解决task-id问题
- 关于loss_mask
- 关于SeqLoRA和IncLoRA HOT 2
- 关于lora_b矩阵的更新问题 HOT 4
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