Update README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- source_data
+- EMBO/BLURB
 metrics:
 - precision
 - recall
@@ -12,6 +12,9 @@ metrics:
 model-index:
 - name: bert-large-cased-lora-finetuned-ner-EMBO-SourceData
   results: []
+language:
+- en
+pipeline_tag: token-classification
 ---
 
 # bert-large-cased-lora-finetuned-ner-EMBO-SourceData
@@ -27,7 +30,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Token%20Classification/Monolingual/EMBO-SourceData%20with%20LoRA/NER%20Project%20Using%20EMBO-SourceData%20with%20LoRA.ipynb
+For more information on how it was created, check out the following link: [https://github.com/DunnBC22/NLP_Projects/blob/main/Token%20Classification/Monolingual/EMBO-SourceData%20with%20LoRA/NER%20Project%20Using%20EMBO-SourceData%20with%20LoRA.ipynb](https://github.com/DunnBC22/NLP_Projects/blob/main/Token%20Classification/Monolingual/EMBO-SourceData%20with%20LoRA/NER%20Project%20Using%20EMBO-SourceData%20with%20LoRA.ipynb)
 
 ## Intended uses & limitations
 
@@ -35,7 +38,7 @@ This model is intended to demonstrate my ability to solve a complex problem usin
 
 ## Training and evaluation data
 
-Dataset Source: https://huggingface.co/datasets/EMBO/BLURB
+Dataset Source: [https://huggingface.co/datasets/EMBO/BLURB](https://huggingface.co/datasets/EMBO/BLURB)
 
 **Token Distribution**
 ![Token Distribution](https://raw.githubusercontent.com/DunnBC22/NLP_Projects/main/Token%20Classification/Monolingual/EMBO-SourceData%20with%20LoRA/Images/Class%20Distribution.png)
@@ -74,4 +77,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.1
 - Pytorch 2.0.1
 - Datasets 2.13.1
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3