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Weights and biases changed the way I interact with my models.
What do you like best about the product?
The best thing about W&B is that you don't need to think about performance visualization anymore. W&B handles that for you, no matter how many metrics you have or how complex they are. It's also very simple to use!
What do you dislike about the product?
Can't think of anything that I dislike, my experience has been very positive until now.
What problems is the product solving and how is that benefiting you?
Helps a lot with visualization and performance tracking.
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WandMe
What do you like best about the product?
The ability to track everything including gradients is a wonderful aspect.
What do you dislike about the product?
One problem is if there's a zombie wandb process and I try to kill it, it makes other functioning trainig runs terminate.
What problems is the product solving and how is that benefiting you?
To keep track of all the experiments and look at the comparisons anytime.
Also share the plots and reports with the rest of the world.
Also share the plots and reports with the rest of the world.
Great platform for collaboration of experiments with intuitive coding steps
What do you like best about the product?
The API is self explanatory and the UI is smart
What do you dislike about the product?
Caching management is not clear, dis not find a way to clean old logs
What problems is the product solving and how is that benefiting you?
Sharing results, experiment tracking management
Best software for ML experiment tracking
What do you like best about the product?
- Ability to view in browser
- Ability to share with collaborators
- Ability to add figures to experiment reports
- Ability to share with collaborators
- Ability to add figures to experiment reports
What do you dislike about the product?
- Annoying bug with visualising segmentation labels - red speckles appear in the label masks which can make it hard to evaluate.
What problems is the product solving and how is that benefiting you?
Tracking ML experiments and sharing with collaborators
Top-tier service for bargain bin prices
What do you like best about the product?
The hosted aspect is great and if you avoid storing large artifacts, too many histograms, or too many images, it's very cheap or free even for heavy usage. I often run training on remote systems and checking the eval outputs remotely can be a pain with other software like TensorFlow. You need to be sure to run the server on your instance to view the dashboard. With W&B you get comparably powerful features, and you don't need to do anything but run your train script. In addition to hosting, the Sweeps functionality is excellent for hyper-parameter sweeping and pre-determined groups of runs in multi-task settings.
What do you dislike about the product?
Some UI elements, like the Runs data table, can be laggy, and sometimes the auto-refresh seems finicky.
What problems is the product solving and how is that benefiting you?
W&B helps track and debug my experiments. I use it for developing new models, observing loss scales and adjusting them so they're in compatible ranges, detecting and addressing gradient instabilities such as vanishing or exploding. I also use it for hyper-parameter searching to find the best values for my training runs. Additionally, I use the Sweeps functionality for coordinating runs that involve many related models that are deployed together.
Pretty good and unique solution
What do you like best about the product?
Managing runs that are lauched across different machines
What do you dislike about the product?
All new accounts have to be a team not personal
What problems is the product solving and how is that benefiting you?
Keep tracking of hyperparameter searches and evaluation metrics across different runs
Perfect for seemless experiment tracking
What do you like best about the product?
I use it for every project, it became a key tool for me to keep an overview about experiments no matter if or when using LLMs
What do you dislike about the product?
Working in teams is limited in the free version
What problems is the product solving and how is that benefiting you?
Experiment tracking which helps to keep track of trials
Smooth workflow for AI benchmarks
What do you like best about the product?
The online API is really helpful to organize results and projects.
What do you dislike about the product?
In the online website, the graphs showing evolution of a metric for example can't be dezoomed easily with the scroll wheel and we can't move in the graph after zooming.
What problems is the product solving and how is that benefiting you?
It stores online my results and shows in live the logs. (without the need to run another command to visualize the results or refresh a page)
LLM training tracking
What do you like best about the product?
I like how it seemlessly integrates into the workflow and reports all relevant information.
What do you dislike about the product?
I did not like how it remains logged in even without the login command, and how it starts a different log for the same 'run name'.
What problems is the product solving and how is that benefiting you?
Monitoring my multiple training logs, keeps all the plots in one place for easy access.
Wandb works well out of the box
What do you like best about the product?
Easy to plug in and use. Works well with PyTorch and lightning and easy to compare models when away from local network.
What do you dislike about the product?
Can slow down training speed and there are some minor bugs sometimes when using on a less well supported device/framework. Mobile UI also slow.
What problems is the product solving and how is that benefiting you?
Helping me compare models quickly on the go. A lot easier to use than other solutions and cloud syncing to share with others.
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