End of training

README.md

@@ -14,8 +14,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.5175
-- Validation Loss: 2.2720
+- Train Loss: 2.5224
+- Validation Loss: 2.2196
 - Epoch: 9
 
 ## Model description
@@ -42,16 +42,16 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 2.5174     | 2.3061          | 0     |
-| 2.5384     | 2.2771          | 1     |
-| 2.5029     | 2.3714          | 2     |
-| 2.5307     | 2.3424          | 3     |
-| 2.5030     | 2.3252          | 4     |
-| 2.5050     | 2.4273          | 5     |
-| 2.5106     | 2.3029          | 6     |
-| 2.5324     | 2.3177          | 7     |
-| 2.5132     | 2.3383          | 8     |
-| 2.5175     | 2.2720          | 9     |
+| 2.5170     | 2.3060          | 0     |
+| 2.5229     | 2.3220          | 1     |
+| 2.5077     | 2.3155          | 2     |
+| 2.5059     | 2.3151          | 3     |
+| 2.5052     | 2.2596          | 4     |
+| 2.5250     | 2.4044          | 5     |
+| 2.5120     | 2.2901          | 6     |
+| 2.5042     | 2.2847          | 7     |
+| 2.4972     | 2.3168          | 8     |
+| 2.5224     | 2.2196          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6e2026e984da50c6674ed09b623b2284abfdfa82787de05546a73e35eb462ebb
+oid sha256:11951e704281684b662bb019dfdeabb7612e9d73c1616457f33388c94119e556
 size 533687680