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: 2.7232
-- Validation Loss: 2.5255
+- Train Loss: 2.7283
+- Validation Loss: 2.5066
 - Epoch: 9
 
 ## Model description
@@ -42,16 +42,16 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 2.7193     | 2.5469          | 0     |
-| 2.7205     | 2.5536          | 1     |
-| 2.7280     | 2.4974          | 2     |
-| 2.7248     | 2.5244          | 3     |
-| 2.7188     | 2.5332          | 4     |
-| 2.7079     | 2.5232          | 5     |
-| 2.7238     | 2.5529          | 6     |
-| 2.7133     | 2.5094          | 7     |
-| 2.7211     | 2.5152          | 8     |
-| 2.7232     | 2.5255          | 9     |
+| 2.7117     | 2.5149          | 0     |
+| 2.7212     | 2.5332          | 1     |
+| 2.7174     | 2.5389          | 2     |
+| 2.7152     | 2.5472          | 3     |
+| 2.7221     | 2.5260          | 4     |
+| 2.7114     | 2.5181          | 5     |
+| 2.7242     | 2.5224          | 6     |
+| 2.7169     | 2.5361          | 7     |
+| 2.7221     | 2.5364          | 8     |
+| 2.7283     | 2.5066          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:25c68bfbd91547c49ba4c1ccef0b9a573d2a04310d6f7478e09433b78bece433
+oid sha256:3fef3481a52b6045c4774f9fe0781724c63bf7b1adfb1efb92da7c170d36c159
 size 533687680