update how it was trained

README.md

@@ -43,8 +43,21 @@ dataset_val = publaynet
 build_val_config = ["max_datapoints=2000"]
     
 coco_metric = MetricRegistry.get_metric("coco")
-``` 
 
+
+train_faster_rcnn(path_config_yaml=path_config_yaml,
+                  dataset_train=dataset_train,
+                  path_weights=path_weights,
+                  config_overwrite=config_overwrite,
+                  log_dir="/path/to/dir",
+                  build_train_config=build_train_config,
+                  dataset_val=dataset_val,
+                  build_val_config=build_val_config,
+                  metric=coco_metric,
+                  pipeline_component_name="ImageLayoutService"
+                  )
+```
+                  
 ## How to fine-tune this model
 
 To fine tune this model, please check this [Fine-tune](https://github.com/deepdoctection/deepdoctection/blob/master/notebooks/Fine_Tune.ipynb) tutorial.