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bert-finetuned-squad

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Skier8402 commited on Mar 6

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@@ -43,73 +43,74 @@ The following hyperparameters were used during training:
 - mixed_precision_training: Native AMP
 ### Training results
-Step 	Training Loss
-500 	2.635500
-1000 	1.655900
-1500 	1.460800
-2000 	1.378100
-2500 	1.328600
-3000 	1.287900
-3500 	1.236900
-4000 	1.179500
-4500 	1.130300
-5000 	1.163700
-5500 	1.122700
-6000 	1.140600
-6500 	1.141300
-7000 	1.082100
-7500 	1.096400
-8000 	1.108300
-8500 	1.058300
-9000 	1.082500
-9500 	1.026400
-10000 	1.040700
-10500 	1.035200
-11000 	1.010700
-11500 	0.807700
-12000 	0.710500
-12500 	0.784300
-13000 	0.740100
-13500 	0.771600
-14000 	0.777200
-14500 	0.749000
-15000 	0.734800
-15500 	0.749500
-16000 	0.775600
-16500 	0.724300
-17000 	0.768300
-17500 	0.753600
-18000 	0.732900
-18500 	0.734200
-19000 	0.699800
-19500 	0.732600
-20000 	0.764600
-20500 	0.772900
-21000 	0.734000
-21500 	0.734000
-22000 	0.691000
-22500 	0.588700
-23000 	0.514800
-23500 	0.539000
-24000 	0.515900
-24500 	0.490800
-25000 	0.524200
-25500 	0.516200
-26000 	0.486200
-26500 	0.526000
-27000 	0.495300
-27500 	0.527600
-28000 	0.484800
-28500 	0.486300
-29000 	0.522200
-29500 	0.519200
-30000 	0.508800
-30500 	0.516700
-31000 	0.490600
-31500 	0.516100
-32000 	0.499500
-32500 	0.496100
-33000 	0.465300
 ### Framework versions

 - mixed_precision_training: Native AMP
 ### Training results
+Step|Training Loss
+  ---|---
+  500|2.6355
+  1000|1.6559
+  1500|1.4608
+  2000|1.3781
+  2500|1.3286
+  3000|1.2879
+  3500|1.2369
+  4000|1.1795
+  4500|1.1303
+  5000|1.1637
+  5500|1.1227
+  6000|1.1406
+  6500|1.1413
+  7000|1.0821
+  7500|1.0964
+  8000|1.1083
+  8500|1.0583
+  9000|1.0825
+  9500|1.0264
+  10000|1.0407
+  10500|1.0352
+  11000|1.0107
+  11500|0.8077
+  12000|0.7105
+  12500|0.7843
+  13000|0.7401
+  13500|0.7716
+  14000|0.7772
+  14500|0.749
+  15000|0.7348
+  15500|0.7495
+  16000|0.7756
+  16500|0.7243
+  17000|0.7683
+  17500|0.7536
+  18000|0.7329
+  18500|0.7342
+  19000|0.6998
+  19500|0.7326
+  20000|0.7646
+  20500|0.7729
+  21000|0.734
+  21500|0.734
+  22000|0.691
+  22500|0.5887
+  23000|0.5148
+  23500|0.539
+  24000|0.5159
+  24500|0.4908
+  25000|0.5242
+  25500|0.5162
+  26000|0.4862
+  26500|0.526
+  27000|0.4953
+  27500|0.5276
+  28000|0.4848
+  28500|0.4863
+  29000|0.5222
+  29500|0.5192
+  30000|0.5088
+  30500|0.5167
+  31000|0.4906
+  31500|0.5161
+  32000|0.4995
+  32500|0.4961
+  33000|0.4653
 ### Framework versions