diff --git a/README.rst b/README.rst
index 191f0fc45cf8b7ab361edf53dd63f54176d2f4a2..8555b43bb4d824ecaa3f2429f334cf5cd9939efe 100644
--- a/README.rst
+++ b/README.rst
@@ -76,6 +76,43 @@ After, the installation steps to run the experiments are given in the documentat
 
 Check the "sphinx/index.html" for details on how to run the experiments.
 
+
+Running the experiments 
+-----------------------
+
+The database class provides a standard interface for training, development and evaluation. 
+Now, using bob package, all the steps can be automated: training, and evaluation.
+
+To run the experiment, use the following command:
+
+.. code-block:: sh
+
+    ./bin/bob bio pipelines vanilla-biometrics  -vvv \
+    bob.paper.tifs2022_hfr_prepended_domain_transformer.config.mcxfaceprotocols.VIS-THERMAL-split1 \
+    bob.paper.tifs2022_hfr_prepended_domain_transformer.config.lightning.x_iresnet_PDT -m
+
+.. note::
+    Note that the first config file specifies the database to be used and the protocol, one can change the config file to 
+    run the experiment for different datasets and protocols. Please inspect the configuration files and pipelines to familiarize the experiments. Please run this job on a GPU machine for faster target.
+
+
+Running the command should launch the training, and once the training is finished, the evaluation process would 
+start automatically. At the end of the experiment, the score files will be written to the folder corresponding to the
+specific protocol and dataset.
+
+Evaluating results
+------------------
+
+To evaluate the score files run the following command.
+
+.. code-block:: python
+
+	./bin/python bob/paper/tifs2022_hfr_prepended_domain_transformer/scripts/hface_metrics.py -sf path_to_scores-dev.csv 
+
+
+It should return AUC, EER, Rank-1 accuracy and Verification rates at different FAR points.
+
+
 Contact
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