Update README.md

README.md

@@ -12,22 +12,26 @@ probably proofread and complete it, then remove this comment. -->
 
 # malay-patel/bert-finetuned-squad-nq
 
-This model is a fine-tuned version of [nlpconnect/roberta-base-squad2-nq](https://huggingface.co/nlpconnect/roberta-base-squad2-nq) on the SubjQA dataset.
-
+This model is a fine-tuned version of [nlpconnect/roberta-base-squad2-nq](https://huggingface.co/nlpconnect/roberta-base-squad2-nq) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Train Loss: 1.5461
 - Train End Logits Accuracy: 0.6253
 - Train Start Logits Accuracy: 0.6120
 - Epoch: 2
 
+## Model description
+
+More information needed
+
 ## Intended uses & limitations
 
-The intent of publishing this model is to improve the performance of question answering model, with the subjectivity of questions/ answers being the prime objective.
+More information needed
 
 ## Training and evaluation data
 
-Training Data: SQuAD 2.0 + Natural Questions + SubjQA
-Evaluation Data: SubjQA
+More information needed
+
+## Training procedure
 
 ### Training hyperparameters
 
@@ -43,9 +47,10 @@ The following hyperparameters were used during training:
 | 1.5423     | 0.6286                    | 0.6192                      | 1     |
 | 1.5461     | 0.6253                    | 0.6120                      | 2     |
 
+
 ### Framework versions
 
 - Transformers 4.24.0
 - TensorFlow 2.9.2
 - Datasets 2.7.1
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2