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agricultural_scheme:
The farmer query is about schemes in Odisha
-
agriculture:
General agri queries
-
pest:
The farmer query is about pests
-
seed:
The farmer query is about seed varieties
-
weather :
The farmer query is asking about the weather for a district /place
e.g. : 'What's the weather forecast for Sundargarh?'
-
price :
The farmer query is asking about the price of some crop
e.g. 'Price for paddy'
-
non_agri :
The farmer query is just some salutation or unrelated to agri
The following training metrics were observed over 10 epochs:
Epoch 1/1000 - Loss: 0.8210 - Accuracy: 0.7443 - F1 Score: 0.7360
Validation Accuracy: 0.9037
Validation F1 Score: 0.9022
Epoch 2/1000 - Loss: 0.2868 - Accuracy: 0.9199 - F1 Score: 0.9197
Validation Accuracy: 0.9241
Validation F1 Score: 0.9236
Epoch 3/1000 - Loss: 0.1620 - Accuracy: 0.9536 - F1 Score: 0.9534
Validation Accuracy: 0.9408
Validation F1 Score: 0.9407
Epoch 4/1000 - Loss: 0.0975 - Accuracy: 0.9698 - F1 Score: 0.9698
Validation Accuracy: 0.9457
Validation F1 Score: 0.9461
Epoch 5/1000 - Loss: 0.0722 - Accuracy: 0.9777 - F1 Score: 0.9777
Validation Accuracy: 0.9518
Validation F1 Score: 0.9520
Epoch 6/1000 - Loss: 0.0570 - Accuracy: 0.9801 - F1 Score: 0.9801
Validation Accuracy: 0.9574
Validation F1 Score: 0.9573
Epoch 7/1000 - Loss: 0.0426 - Accuracy: 0.9838 - F1 Score: 0.9838
Validation Accuracy: 0.9601
Validation F1 Score: 0.9601
Epoch 8/1000 - Loss: 0.0403 - Accuracy: 0.9850 - F1 Score: 0.9850
Validation Accuracy: 0.9646
Validation F1 Score: 0.9646
Epoch 9/1000 - Loss: 0.0340 - Accuracy: 0.9853 - F1 Score: 0.9853
Validation Accuracy: 0.9623
Validation F1 Score: 0.9624
Epoch 10/1000 - Loss: 0.0307 - Accuracy: 0.9857 - F1 Score: 0.9857
Validation Accuracy: 0.9640
Validation F1 Score: 0.9640
Epoch 11/1000 - Loss: 0.0297 - Accuracy: 0.9873 - F1 Score: 0.9873
Validation Accuracy: 0.9618
Validation F1 Score: 0.9618
Epoch 12/1000 - Loss: 0.0279 - Accuracy: 0.9867 - F1 Score: 0.9867
Validation Accuracy: 0.9607
Validation F1 Score: 0.9607
