Update README.md

README.md

@@ -6,6 +6,8 @@ tags:
 model-index:
 - name: gbert-large-autopart
   results: []
+language:
+- de
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,17 +21,19 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+this model contains a domain adaptation of the model [deepset/gbert-large](https://huggingface.co/deepset/gbert-large) using a 
+dataset containing 54.000 sample sentences of german top 30 DAX company websites. 
 
 ## Intended uses & limitations
 
-More information needed
+use in classification problems where the samples are from german company websites. 
 
 ## Training and evaluation data
 
-More information needed
+80 percent of the available samples where used for training. Evaluation was performed on 20 percent of the data. 
 
 ## Training procedure
+masked language modelling using AutoModelForMaskedLM
 
 ### Training hyperparameters
 
@@ -69,4 +73,4 @@ The following hyperparameters were used during training:
 - Transformers 4.32.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.4
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3