Update README.md

README.md

@@ -40,21 +40,6 @@ model-index:
 A historical Swedish Bert model is released from the National Swedish Archives to better generalise to Swedish historical text. Researches are well-aware that the Swedish language has been subject to change over time which means that present-day point-of-view models less ideal candidates for the job. 
 However, this model can be used to interpret and analyse historical textual material and be fine-tuned for different downstream tasks.
 
-## Model Dscription
-
-The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 0
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 6
-- fp16: False
-
-Dataset:
-- Khubist2, which has been cleaned and chunked
 
 ## Intended uses & limitations
 This model should primarly be used to fine-tune further on and downstream tasks.
@@ -70,8 +55,24 @@ print(summarizer(historical_text))
 ```
 
 
+## Model Dscription
+The training procedure can be recreated from here: https://github.com/Borg93/kbuhist2/tree/main
+The preprocessing procedure can be recreated from here: https://github.com/Borg93/kbuhist2/tree/main
 
+### Model  
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 0
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+- fp16: False
 
+### Dataset (WIP)
+- Khubist2, which has been cleaned and chunked.
 
 ## Acknowledgements
 We gratefully acknowledge EuroHPC (https://eurohpc-ju.europa.eu) for funding this research by providing computing resources of the HPC system Vega at the Institute of Information Science (https://www.izum.si)