Update README.md

README.md

@@ -8,6 +8,11 @@ datasets:
 model-index:
 - name: bert-base-cased-finetuned-squad-bs_16
   results: []
+language:
+- en
+metrics:
+- exact_match
+- f1
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,18 +23,16 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the squad dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.3851
+- EM: 80.2270 
+- F1: 88.0794
 
-## Model description
+## Overview
+**Language model:** bert-base-cased  
+**Language:** English  
+**Downstream-task:** Extractive QA  
+**Training data:** SQuAD  
+**Eval data:** SQuAD
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
 
 ## Training procedure
 
@@ -60,4 +63,4 @@ The following hyperparameters were used during training:
 - Transformers 4.34.0
 - Pytorch 1.12.1
 - Datasets 2.14.5
-- Tokenizers 0.14.1
+- Tokenizers 0.14.1