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: 2.7283
-- Validation Loss: 2.5066
+- Train Loss: 2.7242
+- Validation Loss: 2.5107
 - Epoch: 9
 
 ## Model description
@@ -42,16 +42,16 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 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     |
+| 2.7185     | 2.5414          | 0     |
+| 2.7167     | 2.5223          | 1     |
+| 2.7161     | 2.5627          | 2     |
+| 2.7189     | 2.5305          | 3     |
+| 2.7248     | 2.5103          | 4     |
+| 2.7173     | 2.5095          | 5     |
+| 2.7272     | 2.5135          | 6     |
+| 2.7215     | 2.5447          | 7     |
+| 2.7247     | 2.5632          | 8     |
+| 2.7242     | 2.5107          | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a3a155555e27d71a44056c327ddfc4f595c83cea6e7b13466cda9ff468a93b76
 size 533687680