Update README.md

README.md

@@ -78,7 +78,7 @@ Use the code below to get started with the model.
 
 ### Training Data
 
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+<!-- 46 txt, pdf en odt documenten van de DUS-I website zijn gebruikt om Chunks (200 woorden per chunk) te maken in JSON-formaat. -->
 
 [More Information Needed]
 
@@ -88,12 +88,12 @@ Use the code below to get started with the model.
 
 #### Preprocessing [optional]
 
-[More Information Needed]
+[Documenten gegroepeerd (groeperen_segment_text_to_jsonl.py) in labels zoals: PROJECT, HANDLEIDING, OVEREENKOMST, PLAN, BELEID, SUBSIDIE.]
 
 
 #### Training Hyperparameters
 
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+- **Training regime:** [Uitgevoerd met GroNLP/bert-base-dutch-cased model (110 miljoen parameters).] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
 
 #### Speeds, Sizes, Times [optional]
 
@@ -131,6 +131,9 @@ Use the code below to get started with the model.
 
 #### Summary
 
+Categorisatie: 
+
+Script voor textcat model: train_textcat_model.py.
 
 
 ## Model Examination [optional]
@@ -163,7 +166,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 #### Hardware
 
-[More Information Needed]
+[8 vCPU's en 64 GB RAM was vereist.]
 
 #### Software