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: 1.9498
-- Validation Loss: 1.5155
+- Train Loss: 1.9511
+- Validation Loss: 1.5293
 - Epoch: 9
 
 ## Model description
@@ -42,16 +42,16 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 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     |
+| 1.9468     | 1.5190          | 0     |
+| 1.9433     | 1.5186          | 1     |
+| 1.9569     | 1.4843          | 2     |
+| 1.9510     | 1.5563          | 3     |
+| 1.9451     | 1.5308          | 4     |
+| 1.9576     | 1.5209          | 5     |
+| 1.9464     | 1.5324          | 6     |
+| 1.9525     | 1.5168          | 7     |
+| 1.9488     | 1.5340          | 8     |
+| 1.9511     | 1.5293          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3c9b1563aeee92c35bdc948f8fb61f7a58209a07f10a597401f7613acebe8d6e
+oid sha256:ef42cc6b00787e5ef134d714d2a7936f95643060b240adb58e26e98248a76576
 size 533687680