Update README.md

README.md

@@ -1,11 +1,13 @@
-## **Model description**
+# BiodivBERT
+
+## Model description
 * BiodivBERT is a domain-specific BERT based cased model for the biodiversity literature.
 * It uses the tokenizer from BERTT base cased model.
 * BiodivBERT is pre-trained on abstracts and full text from biodiversity literature.
 * BiodivBERT is fine-tuned on two down stream tasks for Named Entity Recognition and Relation Extraction in the biodiversity domain.
 * Please visit our [GitHub Repo](https://github.com/fusion-jena/BiodivBERT) for more details.
 
-**How to use**
+## How to use
 * You can use BiodivBERT via huggingface library as follows:
 
 ````
@@ -16,16 +18,14 @@ tokenizer = AutoTokenizer.from_pretrained("NoYo25/BiodivBERT")
 model = AutoModelForMaskedLM.from_pretrained("NoYo25/BiodivBERT")
 ````
 
-**Training data**
+## Training data
 
 * BiodivBERT is pre-trained on abstracts and full text from biodiversity domain-related publications.
 * We used both Elsevier and Springer APIs to crawl such data.
 * We covered publications over the duration of 1990-2020.
 
-**Evaluation results**
+## Evaluation results
 BiodivBERT overperformed both ``BERT_base_cased``, ``biobert_v1.1``, and ``BiLSTM`` as a baseline approach on the down stream tasks.
 
-
----
-license: cc-by-nc-4.0
----
+## License 
+license: cc-by-nc-4.0