diff --git a/service/tasks.py b/service/tasks.py
index c1370f7..74f7d68 100644
--- a/service/tasks.py
+++ b/service/tasks.py
@@ -56,7 +56,7 @@ def raschet(table_name='service_placementpoint', need_time=True, task_name=STATU
     models.RaschetObjects.objects.all().delete()
     models.RaschetGroups.objects.all().delete()
     # Запуск ML
-    change_status('Запуск ML', task_name=task_name)
+    change_status('Шаг 3 из 3 (Прогноз трафика в точках).', task_name=task_name)
     log_to_telegram(f'{table_name} start raschet')
     try:
         log_to_telegram('try connect to db')
@@ -117,7 +117,7 @@ def raschet(table_name='service_placementpoint', need_time=True, task_name=STATU
 
         # status.status = 'Записи для инференса'
         # status.save()
-        change_status('Записи для инференса', task_name=task_name)
+        #change_status('Записи для инференса', task_name=task_name)
         # Записи для инференса
         if table_name == 'service_placementpoint':
             pts_inf = pts.loc[(pts.status == 'Pending') |
@@ -175,11 +175,11 @@ def raschet(table_name='service_placementpoint', need_time=True, task_name=STATU
             y_infers = []
             # status.status = 'Обучение inference 0%'
             # status.save()
-            change_status('Обучение inference 0%', task_name=task_name)
+            #change_status('Обучение inference 0%', task_name=task_name)
             for i in seeds:
                 # status.status = 'Обучение inference: ' + str(int((seeds.index(i) + 1) / len(seeds) * 100)) + '%'
                 # status.save()
-                change_status(f'Обучение inference: {str(int((seeds.index(i) + 1) / len(seeds) * 100))}%',
+                #change_status(f'Обучение inference: {str(int((seeds.index(i) + 1) / len(seeds) * 100))}%',
                               task_name=task_name)
                 x_trn, x_test, y_trn, y_test = ms.train_test_split(X_trn, Y_trn, test_size=0.2, random_state=i)
                 model = catboost.CatBoostRegressor(cat_features=['property_era'], random_state=i)
@@ -190,7 +190,7 @@ def raschet(table_name='service_placementpoint', need_time=True, task_name=STATU
                     r2_scores.append(r2_score)
                     mapes.append(mape)
                     y_infers.append(model.predict(X_inf.drop(columns=['id'])))
-            change_status('Обучение inference 100%', task_name=task_name)
+            #change_status('Обучение inference 100%', task_name=task_name)
             # status.status = 'Обучение inference 100%'
             current_pred = sum(y_infers) / 4