Update README.md

README.md

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 # German Medical BERT
 
-This is a fine-tuned model on Medical domain for German language and based on German BERT. This model has only been trained to improve on target task (Masked Language Model). It can later be used to perform a downstream task of your needs, while I performed it for NTS-ICD-10 text classification task.
+This is a fine-tuned model on the Medical domain for the German language and based on German BERT. This model has only been trained to improve on-target task (Masked Language Model). It can later be used to perform a downstream task of your needs, while I performed it for the NTS-ICD-10 text classification task.
 
 ## Overview
 **Language model:** bert-base-german-cased
@@ -22,26 +22,26 @@ This is a fine-tuned model on Medical domain for German language and based on Ge
 
 **Eval data:** NTS-ICD-10 dataset (Classification)
 
-**Infrastructure:** Gogle Colab
+**Infrastructure:** Google Colab
 
 
 ## Details
 - We fine-tuned using Pytorch with Huggingface library on Colab GPU.
-- With standard parameter settings for fine-tuning as mentioned in original BERT's paper.
-- Although had to train for upto 25 epochs for classification.
+- With standard parameter settings for fine-tuning as mentioned in the original BERT paper.
+- Although had to train for up to 25 epochs for classification.
 
 ## Performance (Micro precision, recall and f1 score for multilabel code classification)
 
-|Models\\\\t\\\\t\\\\t|P\\\\t|R\\\\t|F1\\\\t|
-|:--------------\\\\t|:------|:------|:------|
-|German BERT\\\\t\\\\t|86.04\\\\t|75.82\\\\t|80.60\\\\t|
-|German MedBERT-256\\\\t|87.41\\\\t|77.97\\\\t|82.42\\\\t|
-|German MedBERT-512\\\\t|87.75\\\\t|78.26\\\\t|82.73\\\\t|
+|Models\\\\\\\\t\\\\\\\\t\\\\\\\\t|P\\\\\\\\t|R\\\\\\\\t|F1\\\\\\\\t|
+|:--------------\\\\\\\\t|:------|:------|:------|
+|German BERT\\\\\\\\t\\\\\\\\t|86.04\\\\\\\\t|75.82\\\\\\\\t|80.60\\\\\\\\t|
+|German MedBERT-256\\\\\\\\t|87.41\\\\\\\\t|77.97\\\\\\\\t|82.42\\\\\\\\t|
+|German MedBERT-512\\\\\\\\t|87.75\\\\\\\\t|78.26\\\\\\\\t|82.73\\\\\\\\t|
 
 ## Author
 Manjil Shrestha: `shresthamanjil21 [at] gmail.com`
 
-## Related Paper
+## Related Paper:
 [Report](https://opus4.kobv.de/opus4-rhein-waal/frontdoor/index/index/searchtype/collection/id/16225/start/0/rows/10/doctypefq/masterthesis/docId/740)
 
 Get in touch: