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: 1.9538
-- Validation Loss: 1.5119
+- Train Loss: 1.9498
+- Validation Loss: 1.5155
 - Epoch: 9
 
 ## Model description
@@ -42,16 +42,16 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 1.9657     | 1.5220          | 0     |
-| 1.9481     | 1.5418          | 1     |
-| 1.9380     | 1.5489          | 2     |
-| 1.9410     | 1.5342          | 3     |
-| 1.9454     | 1.5101          | 4     |
-| 1.9498     | 1.5704          | 5     |
-| 1.9477     | 1.5130          | 6     |
-| 1.9443     | 1.5380          | 7     |
-| 1.9446     | 1.5564          | 8     |
-| 1.9538     | 1.5119          | 9     |
+| 1.9436     | 1.5114          | 0     |
+| 1.9625     | 1.5440          | 1     |
+| 1.9436     | 1.5546          | 2     |
+| 1.9426     | 1.5640          | 3     |
+| 1.9578     | 1.5429          | 4     |
+| 1.9443     | 1.5412          | 5     |
+| 1.9482     | 1.5219          | 6     |
+| 1.9450     | 1.4895          | 7     |
+| 1.9548     | 1.4908          | 8     |
+| 1.9498     | 1.5155          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0752d17ced890ee8d8bac6eb706e4b5d585c37b4391c6a926ec5d4a012ea5498
+oid sha256:3c9b1563aeee92c35bdc948f8fb61f7a58209a07f10a597401f7613acebe8d6e
 size 533687680