typos in model card

README.md

@@ -114,23 +114,23 @@ print(ner_results)
 ### Training Procedure 
 
 
-#### Preprocessing [optional]
+#### Preprocessing 
 
 English dataset was filterd out : ```train_dataset = train_dataset.filter(lambda x: x['lang'] == 'en')```
 
 
 #### Training Hyperparameters
 
-The following hyperparameters were used during training:
+The following hyperparameters were used during training:  
 
-learning_rate: 5e-05
-train_batch_size: 32
-eval_batch_size: 32
-seed: 42
-optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-lr_scheduler_type: linear
-lr_scheduler_warmup_ratio: 0.1
-num_epochs: 1
+learning_rate: 5e-05  
+train_batch_size: 32  
+eval_batch_size: 32  
+seed: 42  
+optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08  
+lr_scheduler_type: linear  
+lr_scheduler_warmup_ratio: 0.1  
+num_epochs: 1  
 
 
 ## Evaluation
@@ -170,7 +170,7 @@ For this `seqeval` metric was used: ```metric = load_metric("seqeval")```.
 |VEHI | 0.812 | 0.812 | 0.812 | 32 |
 |**Overall** | **0.939** | **0.947** | **0.943** |
 
-## Technical Specifications [optional]
+## Technical Specifications
 
 ### Model Architecture and Objective
 Follows the same as RoBERTa-BASE
@@ -183,16 +183,16 @@ Kaggle - GPU T4x2
 Google Colab - GPU T4x1
 
 #### Software
-pandas==1.5.3
-numpy==1.23.5
-seqeval==1.2.2
-datasets==2.15.0
-huggingface_hub==0.19.4
-transformers[torch]==4.35.2
-evaluate==0.4.1
-matplotlib==3.7.1
-collections
-torch==2.0.0
+pandas==1.5.3  
+numpy==1.23.5  
+seqeval==1.2.2  
+datasets==2.15.0  
+huggingface_hub==0.19.4  
+transformers[torch]==4.35.2  
+evaluate==0.4.1  
+matplotlib==3.7.1  
+collections  
+torch==2.0.0  
 
 ## Model Card Contact
 [jayant-yadav](https://huggingface.co/jayant-yadav)