Aubins/distil-bumble-bert

README.md

@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4309
-- Accuracy: 0.7960
-- Precision: 0.6448
-- Recall: 0.6186
-- F1: 0.6314
-- Roc Auc: 0.8439
+- Loss: 0.4346
+- Accuracy: 0.7931
+- Precision: 0.6309
+- Recall: 0.6441
+- F1: 0.6374
+- Roc Auc: 0.8438
 
 ## Model description
 
@@ -73,9 +73,10 @@ The following hyperparameters were used during training:
 | 0.4086        | 6.7702 | 6500 | 0.7916   | 0.6332 | 0.4367          | 0.6296    | 0.6368 | 0.8417  |
 | 0.4318        | 7.2914 | 7000 | 0.7935   | 0.6385 | 0.4372          | 0.6315    | 0.6456 | 0.8421  |
 | 0.4483        | 7.8119 | 7500 | 0.7957   | 0.6305 | 0.4324          | 0.6445    | 0.6170 | 0.8429  |
-| 0.4059        | 8.3331 | 8000 | 0.4329   | 0.7931 | 0.6359          | 0.6253    | 0.6306 | 0.8431  |
-| 0.4138        | 8.8535 | 8500 | 0.4296   | 0.7968 | 0.6501          | 0.6071    | 0.6279 | 0.8439  |
-| 0.427         | 9.3747 | 9000 | 0.4309   | 0.7960 | 0.6448          | 0.6186    | 0.6314 | 0.8439  |
+| 0.4059        | 8.3331 | 8000 | 0.7931   | 0.6306 | 0.4329          | 0.6359    | 0.6253 | 0.8431  |
+| 0.4138        | 8.8535 | 8500 | 0.7968   | 0.6279 | 0.4296          | 0.6501    | 0.6071 | 0.8439  |
+| 0.427         | 9.3747 | 9000 | 0.7960   | 0.6314 | 0.4309          | 0.6448    | 0.6186 | 0.8439  |
+| 0.4185        | 9.8951 | 9500 | 0.4346   | 0.7931 | 0.6309          | 0.6441    | 0.6374 | 0.8438  |
 
 
 ### Framework versions