Model save

README.md

@@ -17,8 +17,8 @@ should 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:
-- Loss: 0.3020
-- Accuracy: 0.926
+- Loss: 0.3130
+- Accuracy: 0.9296
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5849        | 0.1   | 625  | 0.4289          | 0.8756   |
-| 1.7008        | 0.2   | 1250 | 0.3622          | 0.8884   |
-| 1.3654        | 0.3   | 1875 | 0.4385          | 0.8968   |
-| 1.3265        | 0.4   | 2500 | 0.3949          | 0.898    |
-| 0.0032        | 0.5   | 3125 | 0.4126          | 0.9084   |
-| 2.4059        | 0.6   | 3750 | 0.3381          | 0.9112   |
-| 0.9658        | 0.7   | 4375 | 0.3089          | 0.916    |
-| 0.0045        | 0.8   | 5000 | 0.3200          | 0.9216   |
-| 0.0062        | 0.9   | 5625 | 0.3020          | 0.926    |
-| 0.0699        | 1.0   | 6250 | 0.3042          | 0.9252   |
+| 0.0246        | 0.1   | 625  | 0.5761          | 0.8912   |
+| 1.1268        | 0.2   | 1250 | 0.5357          | 0.8916   |
+| 1.5699        | 0.3   | 1875 | 0.5982          | 0.8884   |
+| 1.0828        | 0.4   | 2500 | 0.3852          | 0.9128   |
+| 0.003         | 0.5   | 3125 | 0.3994          | 0.9236   |
+| 1.065         | 0.6   | 3750 | 0.3597          | 0.9248   |
+| 1.1396        | 0.7   | 4375 | 0.3357          | 0.9272   |
+| 0.0024        | 0.8   | 5000 | 0.3534          | 0.9276   |
+| 0.0132        | 0.9   | 5625 | 0.3212          | 0.9304   |
+| 0.0065        | 1.0   | 6250 | 0.3130          | 0.9296   |
 
 
 ### Framework versions