Here is the output of the training
<>------------ Dataset length : 8583 ------------<>
<>-----------------FOLD 1-----------------<>
train: 6866, test: 1717
Epoch: 1  
Training Loss: 0.486925 	Validation Loss: 0.112415 	 
==============================================================================================
Validation loss decreased (inf --> 0.112415).  >>>>>>>  Saving model ...
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Epoch: 2  
Training Loss: 0.443527 	Validation Loss: 0.106931 	 
==============================================================================================
Validation loss decreased (0.112415 --> 0.106931).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 3  
Training Loss: 0.426966 	Validation Loss: 0.105515 	 
==============================================================================================
Validation loss decreased (0.106931 --> 0.105515).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 4  
Training Loss: 0.415489 	Validation Loss: 0.095385 	 
==============================================================================================
Validation loss decreased (0.105515 --> 0.095385).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 5  
Training Loss: 0.409037 	Validation Loss: 0.097692 	 
Accuracy for fold 1: 76 %
<>-----------------FOLD 2-----------------<>
train: 6866, test: 1717
Epoch: 1  
Training Loss: 0.485727 	Validation Loss: 0.120089 	 
==============================================================================================
Validation loss decreased (inf --> 0.120089).  >>>>>>>  Saving model ...
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Epoch: 2  
Training Loss: 0.445043 	Validation Loss: 0.104871 	 
==============================================================================================
Validation loss decreased (0.120089 --> 0.104871).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 3  
Training Loss: 0.428421 	Validation Loss: 0.120718 	 
Epoch: 4  
Training Loss: 0.416499 	Validation Loss: 0.098932 	 
==============================================================================================
Validation loss decreased (0.104871 --> 0.098932).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 5  
Training Loss: 0.410152 	Validation Loss: 0.098041 	 
==============================================================================================
Validation loss decreased (0.098932 --> 0.098041).  >>>>>>>  Saving model ...
==============================================================================================
Accuracy for fold 2: 77 %
<>-----------------FOLD 3-----------------<>
train: 6866, test: 1717
Epoch: 1  
Training Loss: 0.485534 	Validation Loss: 0.110139 	 
==============================================================================================
Validation loss decreased (inf --> 0.110139).  >>>>>>>  Saving model ...
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Epoch: 2  
Training Loss: 0.448009 	Validation Loss: 0.101339 	 
==============================================================================================
Validation loss decreased (0.110139 --> 0.101339).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 3  
Training Loss: 0.424282 	Validation Loss: 0.098663 	 
==============================================================================================
Validation loss decreased (0.101339 --> 0.098663).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 4  
Training Loss: 0.408519 	Validation Loss: 0.097198 	 
==============================================================================================
Validation loss decreased (0.098663 --> 0.097198).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 5  
Training Loss: 0.407020 	Validation Loss: 0.103193 	 
Accuracy for fold 3: 76 %
<>-----------------FOLD 4-----------------<>
train: 6867, test: 1716
Epoch: 1  
Training Loss: 0.484172 	Validation Loss: 0.113273 	 
==============================================================================================
Validation loss decreased (inf --> 0.113273).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 2  
Training Loss: 0.445774 	Validation Loss: 0.103834 	 
==============================================================================================
Validation loss decreased (0.113273 --> 0.103834).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 3  
Training Loss: 0.427883 	Validation Loss: 0.103864 	 
Epoch: 4  
Training Loss: 0.413481 	Validation Loss: 0.101294 	 
==============================================================================================
Validation loss decreased (0.103834 --> 0.101294).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 5  
Training Loss: 0.404326 	Validation Loss: 0.099928 	 
==============================================================================================
Validation loss decreased (0.101294 --> 0.099928).  >>>>>>>  Saving model ...
==============================================================================================
Accuracy for fold 4: 76 %
<>-----------------FOLD 5-----------------<>
train: 6867, test: 1716
Epoch: 1  
Training Loss: 0.472580 	Validation Loss: 0.105664 	 
==============================================================================================
Validation loss decreased (inf --> 0.105664).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 2  
Training Loss: 0.427865 	Validation Loss: 0.097842 	 
==============================================================================================
Validation loss decreased (0.105664 --> 0.097842).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 3  
Training Loss: 0.408531 	Validation Loss: 0.094644 	 
==============================================================================================
Validation loss decreased (0.097842 --> 0.094644).  >>>>>>>  Saving model ...
==============================================================================================
Epoch: 4  
Training Loss: 0.401408 	Validation Loss: 0.103782 	 
Epoch: 5  
Training Loss: 0.395811 	Validation Loss: 0.091990 	 
==============================================================================================
Validation loss decreased (0.094644 --> 0.091990).  >>>>>>>  Saving model ...
==============================================================================================
Accuracy for fold 5: 78 %
K-FOLD CROSS VALIDATION RESULTS FOR 5 FOLDS
--------------------------------
Fold 0: 76.93651718112989 %
Fold 1: 77.34420500873617 %
Fold 2: 76.41234711706466 %
Fold 3: 76.3986013986014 %
Fold 4: 78.55477855477857 %
Average: 77.12928985206214 %
Training completed in 130m 3s