diff --git a/README.md b/README.md
index a66811c..1aabf7f 100644
--- a/README.md
+++ b/README.md
@@ -7,12 +7,17 @@
 
 ### Data Preprocessing
 * `python speech_data.py` creates the training-testing data from the generated samples.
-* run `fix_csv(OUTPUT_NAME)` to create the fixed index of the dataset generated
-* `generate_sppas_trans(OUTPUT_NAME)` creates the SPPAS transcription(wav+txt) data
-* `$ (SPPAS_DIR)/bin/annotation.py -l eng -e csv --ipus --tok --phon --align --align -w ./outputs/OUTPUT_NAME/` creates the phoneme alignment csv files for all variants.
+* run `fix_csv(OUTPUT_NAME)` once to create the fixed index of the dataset generated
+* run `generate_sppas_trans(OUTPUT_NAME)` once to create the SPPAS transcription(wav+txt) data
+* run `$ (SPPAS_DIR)/bin/annotation.py -l eng -e csv --ipus --tok --phon --align --align -w ./outputs/OUTPUT_NAME/` once to create the phoneme alignment csv files for all variants.
 * `create_seg_phonpair_tfrecords(OUTPUT_NAME)` creates the tfrecords files
  with the phoneme level pairs of right/wrong stresses
 
 ### Training
 * `python speech_model.py` trains the model with the training data generated.
 * `train_siamese(OUTPUT_NAME)` trains the siamese model with the generated dataset.
+
+### Testing
+* `python speech_test.py` tests the trained model with the test dataset
+* `evaluate_siamese(TEST_RECORD_FILE,audio_group=OUTPUT_NAME,weights = WEIGHTS_FILE_NAME)`
+  the TEST_RECORD_FILE will be under outputs directory and WEIGHTS_FILE_NAME will be under the models directory, pick the most recent weights file.