End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0868
-- Accuracy: 0.9761
-- F1: 0.9761
-- Precision: 0.9763
-- Recall: 0.9761
+- Loss: 0.0975
+- Accuracy: 0.9767
+- F1: 0.9767
+- Precision: 0.9768
+- Recall: 0.9767
 
 ## Model description
 
@@ -73,14 +73,21 @@ The following hyperparameters were used during training:
 | 0.0131        | 1.3440 | 42000 | 0.9735   | 0.9735 | 0.0924          | 0.9739    | 0.9735 |
 | 0.1303        | 1.44   | 45000 | 0.9742   | 0.9742 | 0.0959          | 0.9742    | 0.9742 |
 | 0.0637        | 1.536  | 48000 | 0.9753   | 0.9753 | 0.0877          | 0.9754    | 0.9753 |
-| 0.1373        | 1.6320 | 51000 | 0.0977   | 0.9741 | 0.9742          | 0.9745    | 0.9741 |
-| 0.1152        | 1.728  | 54000 | 0.1035   | 0.9755 | 0.9755          | 0.9756    | 0.9755 |
-| 0.0728        | 1.8240 | 57000 | 0.0922   | 0.9751 | 0.9752          | 0.9754    | 0.9751 |
-| 0.007         | 1.92   | 60000 | 0.0814   | 0.9763 | 0.9763          | 0.9764    | 0.9763 |
-| 0.0043        | 2.016  | 63000 | 0.0991   | 0.9768 | 0.9768          | 0.9769    | 0.9768 |
-| 0.0429        | 2.112  | 66000 | 0.0925   | 0.9759 | 0.9759          | 0.9760    | 0.9759 |
-| 0.0061        | 2.208  | 69000 | 0.0930   | 0.9765 | 0.9765          | 0.9766    | 0.9765 |
-| 0.0774        | 2.304  | 72000 | 0.0868   | 0.9761 | 0.9761          | 0.9763    | 0.9761 |
+| 0.1373        | 1.6320 | 51000 | 0.9741   | 0.9742 | 0.0977          | 0.9745    | 0.9741 |
+| 0.1152        | 1.728  | 54000 | 0.9755   | 0.9755 | 0.1035          | 0.9756    | 0.9755 |
+| 0.0728        | 1.8240 | 57000 | 0.9751   | 0.9752 | 0.0922          | 0.9754    | 0.9751 |
+| 0.007         | 1.92   | 60000 | 0.9763   | 0.9763 | 0.0814          | 0.9764    | 0.9763 |
+| 0.0043        | 2.016  | 63000 | 0.9768   | 0.9768 | 0.0991          | 0.9769    | 0.9768 |
+| 0.0429        | 2.112  | 66000 | 0.9759   | 0.9759 | 0.0925          | 0.9760    | 0.9759 |
+| 0.0061        | 2.208  | 69000 | 0.9765   | 0.9765 | 0.0930          | 0.9766    | 0.9765 |
+| 0.0774        | 2.304  | 72000 | 0.9761   | 0.9761 | 0.0868          | 0.9763    | 0.9761 |
+| 0.0166        | 2.4    | 75000 | 0.0927   | 0.9775 | 0.9775          | 0.9777    | 0.9775 |
+| 0.0035        | 2.496  | 78000 | 0.0859   | 0.9777 | 0.9777          | 0.9779    | 0.9777 |
+| 0.0891        | 2.592  | 81000 | 0.0898   | 0.9752 | 0.9752          | 0.9752    | 0.9752 |
+| 0.093         | 2.6880 | 84000 | 0.0848   | 0.9777 | 0.9777          | 0.9779    | 0.9777 |
+| 0.0056        | 2.784  | 87000 | 0.0933   | 0.9770 | 0.9770          | 0.9771    | 0.9770 |
+| 0.124         | 2.88   | 90000 | 0.1115   | 0.9774 | 0.9774          | 0.9775    | 0.9774 |
+| 0.0861        | 2.976  | 93000 | 0.0975   | 0.9767 | 0.9767          | 0.9768    | 0.9767 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d5d0631878cddd0fbc1f57c69609dca6894494c2f0c5a1a2462057218636b681
+oid sha256:b01e88c32ba0ec1facde637c9b3a786e8c5cb1b308d5d73388aa03cdb60e07cd
 size 437958648