Update docs/source/configuration.md

Co-authored-by: Samuel Farrens <[email protected]>

docs/source/configuration.md

@@ -337,7 +337,7 @@ config/
 └── training_config_n.yaml
 ```
 
-Note, in this version of WaveDiff the plots are produced only per each metric per trained model.  To produce a single plot displaying the metrics for each trained model, the user must do so in a different run following the steps defined in section [Plot Configuration](plotting_config). The next upgrade to WaveDiff will feature the option to produce independent metrics plots per trained model and/or a single master plot for each metric comparing the respective metric results for all trained models.
+Note, in this version of WaveDiff the plots are produced only per each metric per trained model.  To produce a single plot displaying the metrics for each trained model, the user must do so in a different run following the steps defined in [Plot Configuration](plotting_config). The next upgrade to WaveDiff will feature the option to produce independent metrics plots per trained model and/or a single master plot for each metric comparing the respective metric results for all trained models.
 
 The master configuration file can include a combination of the three pipeline tasks, i.e. training, metrics and plotting, to do independent tasks like train a new PSF model, compute the metrics of pre-trained PSF model, or produce plots for a selection of pre-computed metrics. While currently WaveDiff executes these jobs sequentially on a single GPU, the future plan is to distribute these tasks in parallel across GPUs to accelerate the computation.