Perfect tool for ML experiments tracking
November 03, 2023
Perfect tool for ML experiments tracking
Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with Weights & Biases
1. We use Weights and Biases for tracking experiments, metrics, log configs, model artifcats
2. Since our primary work is building ML models we have to track the model metrics to identify where the model is going wrong or how we can improve it / how the model has improved with certain changes.
3. Run hyperparameter sweep and visualize it beautifully on the dashboard. The sweep really helps in finding the best hyperparameter and is very easy to integrate into codebase.
4. Write down report with detailed and interactable charts which helps in comparing experiments and sharing it with public.
2. Since our primary work is building ML models we have to track the model metrics to identify where the model is going wrong or how we can improve it / how the model has improved with certain changes.
3. Run hyperparameter sweep and visualize it beautifully on the dashboard. The sweep really helps in finding the best hyperparameter and is very easy to integrate into codebase.
4. Write down report with detailed and interactable charts which helps in comparing experiments and sharing it with public.
- Metrics Logging
- Hyperparmeters Sweeps
- Model Artifcats
- Dashboard lags when we log a lot of metrics
- Improved support for matplotlib charts and documentation of wandb custom charts is not straghtforward
- Charts
- Logging
- Experiment table
- Reports
- Artifcats
- Made it very easy to track experiments
- Track ML and Business Metrics improvements across experiments
- Reproduce runs which is essential in ML modelling
Do you think Weights & Biases delivers good value for the price?
Yes
Are you happy with Weights & Biases's feature set?
Yes
Did Weights & Biases live up to sales and marketing promises?
Yes
Did implementation of Weights & Biases go as expected?
Yes
Would you buy Weights & Biases again?
Yes