Update README.md

README.md

@@ -34,7 +34,9 @@ language:
 
 # req_mod_ner_modelv2
 
-This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-ner](https://huggingface.co/pdelobelle/robbert-v2-dutch-ner) on a private dataset with 300 sentences/phrases with 1,954 token labels (IOB2 format) aimed at extracting software requirements related named entities. The following labels are used:
+This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-ner](https://huggingface.co/pdelobelle/robbert-v2-dutch-ner) on a 
+private dataset with 300 sentences/phrases with 1,954 token labels (IOB2 format) aimed at extracting software requirements 
+related named entities. The following labels are used:
 - Actor (used for all types of software users and groups of users)
 - COTS (abbreviation for Commercial Off-The-Shelf Software)
 - Function (used for functions, functionality, features)
@@ -71,9 +73,7 @@ The model performs automated extraction of functionality concepts from source do
 
 ## Training and evaluation data
 
-The model was trained on the req_mod_ner dataset. This dataset is private and contains 300 sentences/phrases and 1,954 IOB2 labels. The dataset is split 240/30/30 into train, validation and test. The reported metrics are from the evaluation on the test set. The validation set was used for cross-validation during training.
-
-## Training procedure
+The model was trained on the ReqModNer dataset. This dataset is private and contains 300 sentences/phrases and 1,954 IOB2 labels. The dataset is split 240/30/30 into train, validation and test. The reported metrics are from the evaluation on the test set. The validation set was used for cross-validation during training.
 
 ### Training hyperparameters