Update README.md

README.md

@@ -73,23 +73,48 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-Step	TrainLoss Valid Loss	Precision 	Recall     F1      	Accuracy
-250	 No log	  0.435449	  0.854588	  0.902136	 0.877719	0.835968
-500	 0.505800	0.611310  	0.869822  	0.876304 	0.873051	0.839177
-750	 0.505800	0.635022  	0.879886  	0.917039 	0.898078	0.853085
-1000	0.097000	0.765935  	0.900818  	0.929459 	0.914914	0.860097
-1250	0.097000	0.887739  	0.885533  	0.903130 	0.894245	0.842625
-1500	0.029900	0.948754	  0.898018  	0.923000 	0.910338	0.843575
-1750	0.029900	1.102811	  0.900433  	0.929955 	0.914956	0.840128
-2000	0.009700	1.039040	  0.901415  	0.917536 	0.909404	0.852728
-2250	0.009700	1.044235	  0.904716  	0.924491 	0.914496	0.849519
-2500	0.002500	1.013194  	0.913086  	0.918530 	0.915800	0.849637
-2750	0.002500	1.017520	  0.908605  	0.928465 	0.918428	0.854986
-3000	0.000900	1.029559	  0.914216  	0.926478 	0.920306	0.859384
-3250	0.000900	1.038318  	0.918177  	0.930949 	0.924519	0.859979
-3500	0.000800	1.045578	  0.914216  	0.926478 	0.920306	0.858552
-3750	0.000800	1.040568  	0.913894  	0.927968 	0.920877	0.858433
-4000	0.000700	1.041146	  0.913894  	0.927968 	0.920877	0.8585528552
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 10.0  | 100  | 0.5238          | 0.8366    | 0.886  | 0.8606 | 0.8410   |
+| No log        | 20.0  | 200  | 0.6930          | 0.8751    | 0.8965 | 0.8857 | 0.8322   |
+| No log        | 30.0  | 300  | 0.7784          | 0.8902    | 0.908  | 0.8990 | 0.8414   |
+| No log        | 40.0  | 400  | 0.9056          | 0.8916    | 0.905  | 0.8983 | 0.8364   |
+| 0.2429        | 50.0  | 500  | 1.0016          | 0.8954    | 0.9075 | 0.9014 | 0.8298   |
+| 0.2429        | 60.0  | 600  | 1.0097          | 0.8899    | 0.897  | 0.8934 | 0.8294   |
+| 0.2429        | 70.0  | 700  | 1.0722          | 0.9035    | 0.9085 | 0.9060 | 0.8315   |
+| 0.2429        | 80.0  | 800  | 1.0884          | 0.8905    | 0.9105 | 0.9004 | 0.8269   |
+| 0.2429        | 90.0  | 900  | 1.1292          | 0.8938    | 0.909  | 0.9013 | 0.8279   |
+| 0.0098        | 100.0 | 1000 | 1.1164          | 0.9026    | 0.913  | 0.9078 | 0.8330   |
+| No log        | 10.0  | 100  | 0.5238          | 0.8366    | 0.886  | 0.8606 | 0.8410   |
+| No log        | 20.0  | 200  | 0.6930          | 0.8751    | 0.8965 | 0.8857 | 0.8322   |
+| No log        | 30.0  | 300  | 0.7784          | 0.8902    | 0.908  | 0.8990 | 0.8414   |
+| No log        | 40.0  | 400  | 0.9056          | 0.8916    | 0.905  | 0.8983 | 0.8364   |
+| 0.2429        | 50.0  | 500  | 1.0016          | 0.8954    | 0.9075 | 0.9014 | 0.8298   |
+| 0.2429        | 60.0  | 600  | 1.0097          | 0.8899    | 0.897  | 0.8934 | 0.8294   |
+| 0.2429        | 70.0  | 700  | 1.0722          | 0.9035    | 0.9085 | 0.9060 | 0.8315   |
+| 0.2429        | 80.0  | 800  | 1.0884          | 0.8905    | 0.9105 | 0.9004 | 0.8269   |
+| 0.2429        | 90.0  | 900  | 1.1292          | 0.8938    | 0.909  | 0.9013 | 0.8279   |
+| 0.0098        | 100.0 | 1000 | 1.1164          | 0.9026    | 0.913  | 0.9078 | 0.8330   |
+
+
+ [4000/4000 20:34, Epoch 53/54]
+Step	Training Loss	Validation Loss	Precision	Recall	F1	Accuracy
+250	No log	0.435449	0.854588	0.902136	0.877719	0.835968
+500	0.505800	0.611310	0.869822	0.876304	0.873051	0.839177
+750	0.505800	0.635022	0.879886	0.917039	0.898078	0.853085
+1000	0.097000	0.765935	0.900818	0.929459	0.914914	0.860097
+1250	0.097000	0.887739	0.885533	0.903130	0.894245	0.842625
+1500	0.029900	0.948754	0.898018	0.923000	0.910338	0.843575
+1750	0.029900	1.102811	0.900433	0.929955	0.914956	0.840128
+2000	0.009700	1.039040	0.901415	0.917536	0.909404	0.852728
+2250	0.009700	1.044235	0.904716	0.924491	0.914496	0.849519
+2500	0.002500	1.013194	0.913086	0.918530	0.915800	0.849637
+2750	0.002500	1.017520	0.908605	0.928465	0.918428	0.854986
+3000	0.000900	1.029559	0.914216	0.926478	0.920306	0.859384
+3250	0.000900	1.038318	0.918177	0.930949	0.924519	0.859979
+3500	0.000800	1.045578	0.914216	0.926478	0.920306	0.858552
+3750	0.000800	1.040568	0.913894	0.927968	0.920877	0.858433
+4000	0.000700	1.041146	0.913894	0.927968	0.920877	0.8585528552
 
 
 ### Framework versions