Update training.md

docs/training.md

@@ -2,10 +2,10 @@
 
 ## LightningCLI
 
-[LightningCLI](https://lightning.ai/docs/pytorch/latest/cli/lightning_cli.html#lightning-cli) is a command line interface separating source code from hyperparameters. Hyperparameters are defined in a YAML file `config.yaml` and passed to the CLI.
+[LightningCLI](https://lightning.ai/docs/pytorch/latest/cli/lightning_cli.html#lightning-cli) is a command line interface separating source code from hyperparameters. The hyperparameters are defined in a YAML file `config.yaml` and passed to the CLI.
 
 ```bash
-spherinator fit -c experiments/illustris_power.yaml
+spherinator fit -c experiments/config.yaml
 ```
 
 Arguments can be directly defined on the command line and overwrite the YAML file.
@@ -21,7 +21,7 @@ Examples:
 The config-file [callback_log_reconstructions.yaml](experiments/callback_log_reconstructions.yaml) can be appended to visualize the reconstructed images during training at W&B. Therefore, the W&B config-file must be appended as well.
 
 ```bash
-spherinator fit -c experiments/illustris_power.yaml \
+spherinator fit -c experiments/config.yaml \
     -c experiments/wandb.yaml \
     -c experiments/callback_log_reconstructions.yaml
 ```