Comments (2)
您好 @XiaoqingNLP
- 是我们自己的训练用的开发仓库名字,基于 Megatron-DeepSpeed 修改而来。
- 在流水线并行下,一次个 batch 会被划分为若干 micro batch 来减少流水线的气泡,因此梯度累加是必须使用的。具体来说,我们采用的是 1F1B 的流水线 schedule。
- 这个只是我们排查不收敛是不是 reshuffle 导致的,此外这部分在日志中标记了(废除),最终的训练曲线没有这一段。
- 是的,我们发现需要缓慢改变数据的分布,否则会导致训练不收敛。
- 一般观察到的现象是 loss 先 spike 到几个数量级以上,再 nan。
抱歉我们的日志没有记录的太详细,当时只是内部记载用,如果还有更多问题欢迎提出 :)
from glm-130b.
请问LargeScale有开源版本吗?
from glm-130b.
Related Issues (20)
- 关于docs/quantization.md中图片疑问
- 训练目标
- 关于FT inference benchmark数据的疑问
- 每个token耗时呈脉冲式变化
- GLM-130B文档中描述model weights,GPU内存需要260G,测试demo中实际测试总占用在240G左右,请问是什么原因
- 模型并行集群怎么搭建
- 请问GLM可以在输出内容时,同时输出引用内容的来源吗?
- 模型申请页面无法提交申请 HOT 1
- 基于130B有chat版本开源的计划吗?
- 申请邮件收到的模型下载链接都失效了 HOT 5
- FasterTransformer能否支持Glm6B呢
- glm2-130B will it be made? HOT 1
- 请问,课程链接在哪里? HOT 1
- RuntimeError: probability tensor contains either `inf`, `nan` or element < 0answers, answers_with_style, blanks = fill_blanks(raw_text, model, tokenizer, strategy)
- 8卡 fastertransformer 推理报错RuntimeError: [FT][ERROR] Assertion fail: /home/young.ruan/FasterTransformer/src/fastertransformer/th_op/glm/GlmOp.h:539
- 执行bash scripts/generate.sh --input-source interactive时出现的错误。大佬救救! HOT 1
- Clarification Request on GLM-130B Model Architecture and Licensing for Commercial Use
- 有用tensortRT-llm的docker环境跑通模型的吗?求助...
- 请各位大佬伸以援手,我想要在自己本地部署一个该模型,怎么在windows上进行部署?
- 下载到一半就再也下不了了
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