Comments (8)
再一次训练仍然这样
from efficient-computing.
因为我电脑最多支持128的batchsize,所以我把batchsize设置为128,这样会影响精确度么
from efficient-computing.
因为我电脑最多支持128的batchsize,所以我把batchsize设置为128,这样会影响精确度么
会的 最好还是用1024的batch size
from efficient-computing.
因为我电脑最多支持128的batchsize,所以我把batchsize设置为128,这样会影响精确度么
会的 最好还是用1024的batch size
请问1024的batchsize需要多大的显存
from efficient-computing.
因为我电脑最多支持128的batchsize,所以我把batchsize设置为128,这样会影响精确度么
会的 最好还是用1024的batch size
请问你训练的时候有出现多卡训练负载不均衡的问题么,我训练的时候两张卡和一张卡运行最大的batchsize几乎一样
from efficient-computing.
因为我电脑最多支持128的batchsize,所以我把batchsize设置为128,这样会影响精确度么
会的 最好还是用1024的batch size
请问你训练的时候有出现多卡训练负载不均衡的问题么,我训练的时候两张卡和一张卡运行最大的batchsize几乎一样
我有个问题一直没想通,为什么batchsize要设定到这么大才能有好的效果,是因为batchsize设置的太小会受随机性影响很大么,希望作者有空能解答一下
from efficient-computing.
因为我电脑最多支持128的batchsize,所以我把batchsize设置为128,这样会影响精确度么
会的 最好还是用1024的batch size
请问你训练的时候有出现多卡训练负载不均衡的问题么,我训练的时候两张卡和一张卡运行最大的batchsize几乎一样
我有个问题一直没想通,为什么batchsize要设定到这么大才能有好的效果,是因为batchsize设置的太小会受随机性影响很大么,希望作者有空能解答一下
因为类别均衡的loss是每个batch计算的,batchsize太小无法就生成足够每个类别训练的样本。
from efficient-computing.
再一次训练仍然这样
请问下有尝试训练MNIST么,精度如何(⊙o⊙)?
from efficient-computing.
Related Issues (20)
- [Gold-Yolo]inject module HOT 3
- infer.py精度与eval.py精度差距过大 HOT 2
- Can't make inferences HOT 3
- about video inference HOT 1
- TypeError: 'NoneType' object is not subscriptable HOT 3
- about the MIM result HOT 1
- Add the Gold-yolo module to yolov7 HOT 1
- missing labels and low evaluation HOT 3
- "_call_impl(self, *input, **kwargs)" forward abnormally。
- Assertion `index >= -sizes[i] && index < sizes[i] && "index out of bounds"` failed. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. HOT 1
- 【Function get_box_metrics(self) 】Unabel to get repr for <class 'torch.Tensor'>
- question about number of layers HOT 1
- Feature map size Question? HOT 2
- The script of generating text for GPT4Image HOT 1
- hyper-parameter "--fuse_ab" in gold-yolo HOT 1
- Creating textual descriptions using BLIP-2 on Cifar-10/100 HOT 1
- Code for DAFL HOT 1
- when I train myself datasets ,a bad question was happened that my iou_loss dfl_loss and ap is zero HOT 2
- 蒸馏的时候问题:AttributeError: 'Trainer' object has no attribute 'loss_items' HOT 1
- 训练报错 HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from efficient-computing.