Dev/task 4 #18
Closed
Dev/task 4 #18
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Ran formatter
Task 2: Creating an installable package and installing it
removing egg info from tracking
Updating .gitignore
moving cnn.py out of train.py
Dev/task_3: wandb integration
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Using optuna to sweep learning rate and gamma (took out the epoch sweep because it was taking too long for this example project).
Loss went down in trials with smaller learning rates, per the wandb screenshot below. The best LR was, 0.0014763515197198911 per the terminal screenshot below.