Comments (5)
@fishfree 感谢你对我们项目的关注。
fashcat这个项目是在上周发布的,他们的前身是alpaca,然后在对话数据集上进行微调的项目。
我们的项目要比它们早发布一周多,也是参考alpaca的训练模式。
不过两个项目基底都差不多,我们的项目更加关注低资源和中文。
from chinese-vicuna.
@Facico 谢谢您的解答!那和 https://github.com/ymcui/Chinese-LLaMA-Alpaca 有什么异同呢?
from chinese-vicuna.
可以参考这个issue,他们的不同点主要在于他们进行了词表扩充
from chinese-vicuna.
谢谢解答!虽然看不懂。。。
@Facico 看到一个这个讨论:https://news.ycombinator.com/item?id=35441299 我们是不是也可以借鉴Vicuna的这种思路?
from chinese-vicuna.
你说的Vicuna的思路唯一的不同就是他们使用的是对话的数据来弄的。我们下一步就是在纯对话上弄一个,不过我们人力物力资源较少,暂时只能使用开源的数据。不过现在很多开源的对话数据质量一般,很多都是以指令的形式的对话数据。gpt4all是英文的数据,我们之前拿这个混起来训过,暂时没看到效果有多大的提升,可能需要更大的模型(比如13B),或者将模型要调试的参数变多。
from chinese-vicuna.
Related Issues (20)
- 有办法改成分类任务么,用LlamaForSequenceClassification模型类加载
- transformers和pydantic问题 HOT 1
- 是因为梯度为0吗?
- 多卡finetune_chat时报mat1 and mat2 shapes cannot be multiplied (1024x2 and 1x11008) HOT 2
- 中文乱码 HOT 5
- 请问多个lora模型怎么合并?
- 请问llama7b_4bit_128g的input shape是多少呢 HOT 1
- 运行chat_7B.sh聊两句话out of memory
- 多卡训练 bash scripts/finetune.sh报错 HOT 1
- 这几个不同路径下的模型是否有区别?
- 运行generate脚本之后,在页面提问,很久没有产生回答,后台无报错 HOT 2
- OSError: Not enough disk space. Needed: Unknown size (download: Unknown size, generated: Unknown size, post-processed: Unknown size)
- 从belle+guanaco数据集中抽取前5000条样本训练lora,效果不好
- deepspeed跑模型相关问题
- 使用finetune.sh来指令微调llama-33b,出现ZeroDivisionError: integer division or modulo by zero错误 HOT 2
- 可以提供一下huggingface上的Chinese-Vicuna/llama7b_4bit_128g模型的config.json和tokenizer么?
- 官方colab安裝套件失效
- 如果更改數據集格式,要如何更改代碼
- 可以更新一下requirements吗? HOT 1
- 关于中断训练继续训练。 HOT 16
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from chinese-vicuna.