Ecosyste.ms: Issues
An open API service for providing issue and pull request metadata for open source projects.
GitHub / jingyaogong/minimind-v issues and pull requests
#34 - 关于loss不下降的问题
Issue -
State: open - Opened by LiuCharming 4 days ago
- 1 comment
#33 - vision_model在for step, (X, Y, loss_mask, image_process) in enumerate(train_loader):这个步骤后的参数都变为0了 导致提取的特征都为0 这导致无效训练了
Issue -
State: closed - Opened by LiuCharming 5 days ago
#32 - loss
Issue -
State: closed - Opened by hxqiu 10 days ago
- 1 comment
#32 - loss
Issue -
State: closed - Opened by hxqiu 10 days ago
- 1 comment
#31 - 关于DDP的问题
Issue -
State: open - Opened by hlh2023214 about 1 month ago
- 1 comment
#30 - 关于mapping层的设计
Issue -
State: open - Opened by ZKCCZ about 1 month ago
- 2 comments
#29 - 请问多图微调数据集中提到的output.json文件应该去哪里下载呢?
Issue -
State: closed - Opened by why135724 about 2 months ago
- 3 comments
#28 - 语言模型能替换成其他模型吗
Issue -
State: closed - Opened by zhaowanjin about 2 months ago
- 1 comment
#27 - 微调的时候报错了是什么问题呢
Issue -
State: closed - Opened by LiuCharming about 2 months ago
- 5 comments
#26 - 微调的时候报错了是什么问题呢
Issue -
State: closed - Opened by LiuCharming about 2 months ago
#25 - CLIP对应的词表与语言模型是相同的吗
Issue -
State: closed - Opened by lightning0016 2 months ago
- 1 comment
#24 - AMP训练-数据类型选择问题
Issue -
State: closed - Opened by chongkuiqi 2 months ago
- 1 comment
#23 - 模型结构中dropout层位置的问题
Issue -
State: closed - Opened by chongkuiqi 2 months ago
- 1 comment
#22 - More modality
Issue -
State: open - Opened by Yu-xm 2 months ago
- 1 comment
#21 - sft_vlm训练了一个epoch报错,求助大佬,还有数据集的<image>\n有啥用,为啥有的在前有的在后啊
Issue -
State: closed - Opened by huskyth 3 months ago
- 2 comments
#20 - 讨论、对之前代码优化以及添加Siglip编码器
Pull Request -
State: closed - Opened by xinyanghuang7 3 months ago
- 5 comments
#19 - 添加多图训练和推理过程
Pull Request -
State: closed - Opened by xinyanghuang7 3 months ago
- 3 comments
#18 - 显存需求
Issue -
State: open - Opened by AHPUymhd 3 months ago
- 1 comment
#17 - no issue
Issue -
State: closed - Opened by why135724 3 months ago
#16 - sft 阶段loss异常增高
Issue -
State: closed - Opened by WangRongsheng 3 months ago
- 3 comments
#15 - 如何训练自己的数据集呢?
Issue -
State: open - Opened by cripsgreen 3 months ago
- 2 comments
#14 - Fix default max_seq_len from 200 to 512
Pull Request -
State: closed - Opened by MAOJIASONG 3 months ago
- 1 comment
#13 - sft-vlm 报错
Issue -
State: closed - Opened by MAOJIASONG 3 months ago
- 1 comment
#12 - 关于预训练报错没有正确安装或初始化 Git LFS,但是已经安装并且初始化了
Issue -
State: closed - Opened by Aether-star 3 months ago
- 3 comments
#11 - 关于运行时报错 Transformer.generate() got an unexpected keyword argument 'image_encoders'
Issue -
State: closed - Opened by cmgyqjj 3 months ago
- 4 comments
#10 - 关于在autodl 训练遇到的 lfs 问题
Issue -
State: closed - Opened by pengqianhan 3 months ago
- 2 comments
#9 - linux下直接复制命令过去,&会识别为后台运行,然后&之后的命令就会直接执行报错,建议换行
Pull Request -
State: closed - Opened by chuanzhubin 4 months ago
#8 - 关于visual encoder部分的小问题
Issue -
State: open - Opened by wrsnice 4 months ago
- 9 comments
#7 - 大佬之後會有音頻模型(或是附加音頻的三模態)嗎?
Issue -
State: open - Opened by win10ogod 4 months ago
- 4 comments
#6 - minimind语言模型的预训练权重对应项目中的哪一个权重文件?
Issue -
State: open - Opened by guang384 4 months ago
- 1 comment
#5 - 关于效果预期
Issue -
State: open - Opened by jingyaogong 4 months ago
- 2 comments
#4 - windows 平台下 dim 设置为 512 loss值没有变化,换成768可以的
Issue -
State: closed - Opened by gaoshan0007 4 months ago
- 6 comments
#3 - new_h_i = torch.cat((before, vision_proj[i], after), dim=0)[:seqlen]
Issue -
State: open - Opened by pengqianhan 4 months ago
- 1 comment
#2 - 用GPU和用CPU,训练损失差别好大
Issue -
State: open - Opened by cqcracked 4 months ago
- 1 comment
#1 - 建议使用Minimind作为LLM,Visual Encoder可以使用其它的
Issue -
State: closed - Opened by WangRongsheng 4 months ago