Update README.md

README.md

@@ -8,8 +8,26 @@ library_name: transformers
 pipeline_tag: text-classification
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 Model to classify grievances into 3 buckets : 
-The  buckets are : ['Account number is not Correct' ,'Installment not received', 'Others'] 
+The  buckets are : ['Account number is not Correct' ,'Installment not received', 'Others']
+Label 0:  'Account number is not Correct'
+Label 1:  'Installment not received'
+Label 2:  'Others'
 
 'Account number not correct' is for those grievances/ feedback which talk about the bank account not being correct on the portal for these farmers.  
 'Installment not received' is for those feedback which talk about the farmer not receiving the installment/money for that month. 
-'Others'  cover all other types of grievances - including 'Gender being wrong ,'Online Application pnding approval,' pther Payment Related issues','Problem in Adhaar Correction' ,'problem in bio-metric based e-kyc','Problem in OTP based e-kyc', 'Tansaction Failed' etc etc.  
+'Others'  cover all other types of grievances - including 'Gender being wrong ,'Online Application pnding approval,' pther Payment Related issues','Problem in Adhaar Correction' ,'problem in bio-metric based e-kyc','Problem in OTP based e-kyc', 'Tansaction Failed' etc etc.
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+Training Epochs: 
+Epoch 1/15 - Loss: 1.0574 - Accuracy: 0.4242 - F1 Score: 0.4202
+Epoch 2/15 - Loss: 0.7780 - Accuracy: 0.7500 - F1 Score: 0.6952
+Epoch 3/15 - Loss: 0.5212 - Accuracy: 0.8939 - F1 Score: 0.8825
+Epoch 4/15 - Loss: 0.3214 - Accuracy: 0.9773 - F1 Score: 0.9767
+Epoch 5/15 - Loss: 0.1612 - Accuracy: 1.0000 - F1 Score: 1.0000
+Epoch 6/15 - Loss: 0.0883 - Accuracy: 1.0000 - F1 Score: 1.0000
+Epoch 7/15 - Loss: 0.0592 - Accuracy: 1.0000 - F1 Score: 1.0000
+Epoch 8/15 - Loss: 0.0418 - Accuracy: 1.0000 - F1 Score: 1.0000
+Epoch 9/15 - Loss: 0.0321 - Accuracy: 1.0000 - F1 Score: 1.0000
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