-
Hello,
I would be interested in knowing whether you managed to replicate the performance of AWD-LSTM on WikiText-2 (~~Validation PPL=60.0 , Test PPL=57.3~~ Validation PPL=68.6 , Test PPL=65.8).
I…
-
With:
n_envs: 4
n_steps: 64
batch_size: 64
learning_rate: 0.00001
n_epochs: 5
ent_coef: 0.0
I can bring coeff to 0.01, and target_kl to 0.01 without any visible performance loss (when compared …
-
Hello,
Thanks you for this outstanding work.
I am currently attempting to replicate the experiments outlined in your paper. However, I have encountered a noticeable disparity in the results obta…
-
### Description
When grouping by hyperparameters in a report, the value of each hyperparameter is displayed in full for every run showed.
Here's an example:
![image](https://github.com/wandb/wand…
-
Hi teams, thanks for sharing your brilliant work!
I have some problems with hyperparameters and hope you can save my day.
1. What is the total iteration? By default, args.steps is defined as 1 …
-
### What happened + What you expected to happen
I am running the notebook in Kaggle.
!pip install -U "ray[tune]"
```python
from ray import train, tune
def objective(config):
project = …
-
### Initiative (Required)
GSSoC 2024 Extd 🚀
### Is your feature request related to a problem? Please describe.
The feature request addresses the challenge of accurately predicting Nifty 50 prices b…
-
I realized we're using hard coded values for `RandomizedSearchCV` with an explicit list of values instead of a distribution (like `loguniform()`. Would it be worth updating the script to do this? It m…
-
as i see, you call `MinibatchDiscrimination(50, 30)` in order to implement discrimination. Are these parameters 50 and 30 related with image size, etc. or completely arbitrary? thanks...
yrg23 updated
5 years ago
-
@fkiraly hinted at this and I think it's a nice idea basically have "acceptable domains" for hyperparameters.
For example, we wouldn't really want a penalty to have negative scale so for that, ther…