Update README.md

README.md

@@ -1,7 +1,5 @@
 ---
 base_model: jjzha/jobbert-base-cased
-tags:
-- generated_from_trainer
 metrics:
 - accuracy
 - precision
@@ -10,6 +8,9 @@ metrics:
 model-index:
 - name: results
   results: []
+widget:
+  - text: You should be a skilled communicator.
+  - text: You can programme in Python and CSS.
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,17 +28,11 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
+The base model (`jjzha/jobbert-base-cased`) is a BERT transformer model, pretrained on a corpus of ~3.2 million sentences from job adverts for the objective of Masked Language Modelling (MLM). A token classification head is added to the top of the model to predict a label for every token in a given spequence. In this instance, it is predicting a label for every token in a job description, where the label is either a 'B-SKILL', 'I-SKILL' or 'O' (not a skill).
 
 ## Training and evaluation data
 
-More information needed
-
-## Training procedure
+The model was trained on 4112 job advert sentences. 
 
 ### Training hyperparameters