Comments (7)
There is also an image that is not rendering correctly:
@Hhhhhhao @svekars What was the intended image in the tutorial?
The image should be this one: https://github.com/microsoft/Semi-supervised-learning/blob/main/figures/code.png
I don't know why it is not rendered.
To reduce the training iterations, we can reduce this number:
from tutorials.
The image should be this one: https://github.com/microsoft/Semi-supervised-learning/blob/main/figures/code.png
Would it be ok if I link the image to that URL directly in the notebook?
To reduce the training iterations, we can reduce this number:
I will try reducing that value and see what is reasonable.
Yeah. Using the link directly would be fine.
I guess changing the iteration numbers to 1000 would be fine?
from tutorials.
I guess changing the iteration numbers to 1000 would be fine?
I tried 500 earlier and it ran for 3 minutes with an accuracy of 87% for both FreeMatch and SoftMatch. Trying 1000 now.
if that's the case I think 500 would be good.
from tutorials.
There is also an image that is not rendering correctly:
@Hhhhhhao @svekars What was the intended image in the tutorial?
from tutorials.
The image should be this one: https://github.com/microsoft/Semi-supervised-learning/blob/main/figures/code.png
Would it be ok if I link the image to that URL directly in the notebook?
To reduce the training iterations, we can reduce this number:
I will try reducing that value and see what is reasonable.
from tutorials.
I guess changing the iteration numbers to 1000 would be fine?
I tried 500 earlier and it ran for 3 minutes with an accuracy of 87% for both FreeMatch and SoftMatch. Trying 1000 now.
from tutorials.
Interesting, I just ran with 1000 iterations for FreeMatch (ran for 8 minutes) and the accuracy went slightly down to 86%.
from tutorials.
Related Issues (20)
- [BUG] ddp_pipeline.html is outdated
- NN tutorial - picture and code are confusing at first glance HOT 6
- Contradiction in `save_for_backward`, what is permitted to be saved
- I think `optimizer.zero_grad()` should go before `loss.backward()` HOT 5
- Minor style bug: missing space
- [BUG] - intermediate_source/torch_export_tutorial.py fails against 2.3 RC binaries HOT 2
- [BUG] - Loss calculation problem in train-loop HOT 2
- Minor style bug: remove backticks in the section of code
- [BUG] Remove TorchText tutorial
- [BUG] - missing import in Reinforcement Learning (PPO) Tutorial
- Misleading example for per-sample gradient HOT 3
- Issues with se2seq tutorial (batch training)
- [BUG] - torchvision_tutorial.py fails with a RuntimeError
- 💡 [REQUEST] - Add a Timestamp to Every Tutorial
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- [BUG] - issue::checkpoints are not saving the information and weights after few days. givinig different results. HOT 7
- A typo in the comments
- requires_grad=True for an input datapoint? HOT 1
- Performance Tuning Guide is very out of date HOT 3
- Test issue HOT 7
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from tutorials.