updated readme

Author: sot176

README.md

@@ -51,19 +51,24 @@ Before running the training script, ensure the results directory exists:
 ### 2) Run the following command for training, evaluation and testing
 
  `python3 main.py --modelname "<MODEL_NAME>" --dataset "<DATASET_NAME>" --metric "<METRIC_1>" "<METRIC_2>" ... "<METRIC_N>" --resultfolder "<RESULTS_DIRECTORY>" --run_name "<RUN_NAME>" --device "<DEVICE>"`
-Replace placeholders with your desired values:
+<br> Replace placeholders with your desired values:
 
-`<MODEL_NAME>`: You can choose from different models ( `"MagnusModel", "ChristianModel", "SolveigModel", "JanModel", "JohanModel"`).
+- `<MODEL_NAME>`: You can choose from different models ( `"MagnusModel", "ChristianModel", "SolveigModel", "JanModel", "JohanModel"`).
 
-`<DATASET_NAME>`: The following datasets are supported (`"svhn", "usps_0-6", "usps_7-9", "mnist_0-3", "mnist_4-9"`)
 
-`<METRIC_1> ... <METRIC_N>`: Specify one or more evaluation metrics (`"entropy", "f1", "recall", "precision", "accuracy"`)
+- `<DATASET_NAME>`: The following datasets are supported (`"svhn", "usps_0-6", "usps_7-9", "mnist_0-3", "mnist_4-9"`)
 
-`<RESULTS_DIRECTORY>`: Folder where all model outputs, logs, and checkpoints are saved 
 
-`<RUN_NAME>`: Name for WANDB project
+- `<METRIC_1> ... <METRIC_N>`: Specify one or more evaluation metrics (`"entropy", "f1", "recall", "precision", "accuracy"`)
 
-`<DEVICE>`: `"cuda", "cpu", "mps"`
+
+- `<RESULTS_DIRECTORY>`: Folder where all model outputs, logs, and checkpoints are saved 
+
+
+- `<RUN_NAME>`: Name for WANDB project
+
+
+- `<DEVICE>`: `"cuda", "cpu", "mps"`
 
 
 ## Running on a k8s cluster