Update README.md

README.md

@@ -16,10 +16,10 @@ We first pretrained the model with 2 million sentences from Dutch historical nov
 Afterward, we finetuned the model with a 10k dataset consisting of 19th-century Dutch sentences; 
 these sentences were automatically annotated by a rule-based system built for 19th-century Dutch spelling normalization (van Cranenburgh and van Noord, 2022).
 
-The model is only available in the TensorFlow format but can be converted to a Pytroch environment.
-The pretrained only weights are also available in the Flax environment; note that this model has to be finetuned first. 
-The pretrained only weights are available in the directory _pretrained_ByT5_.
-The train and validation sets used for finetuning are available in the repository. 
+The finetuned model is only available in the TensorFlow format but can be converted to a Pytroch environment.
+The pretrained only weights are available in the Pytorch environment; note that this model has to be finetuned first. 
+The pretrained only weights are available in the directory __Pretrained_ByT5__.
+The train and validation sets used for finetuning are available in the main repository. 
 For further information about the model, please see the [GitHub](https://github.com/Awolters123/Master-Thesis) repository.
 
 
@@ -50,5 +50,4 @@ _Batch size_: 32
 _Optimizer_: AdamW   
 _Epochs_: 30, with earlystopping
 
-To further finetune the model, use the _T5Trainer.py_ script. 
-If you want to finetune the pretrained weights from scratch, you have to first convert the Flax file into a Pytorch or TensorFlow environment. 
+To further finetune or pretrain the model, use the __T5Trainer.py__ script.