End of training

README.md

@@ -18,8 +18,8 @@ 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: 1.1080
-- Accuracy: 0.6859
+- Loss: 1.0373
+- Accuracy: 0.6968
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6504        | 1.0   | 39   | 0.6354          | 0.6209   |
-| 0.5349        | 2.0   | 78   | 0.7046          | 0.6679   |
-| 0.3364        | 3.0   | 117  | 0.7538          | 0.6787   |
-| 0.1599        | 4.0   | 156  | 0.9794          | 0.6679   |
-| 0.0723        | 5.0   | 195  | 1.1080          | 0.6859   |
+| 0.6504        | 1.0   | 39   | 0.6453          | 0.6390   |
+| 0.5147        | 2.0   | 78   | 0.7127          | 0.6895   |
+| 0.2888        | 3.0   | 117  | 0.6918          | 0.7004   |
+| 0.1676        | 4.0   | 156  | 0.8771          | 0.7040   |
+| 0.0967        | 5.0   | 195  | 1.0373          | 0.6968   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9cb35a4123ec8913a3881c0b73e349d1061b2d9869c9159002198d99a44d8788
+oid sha256:2ddc278bbfa7ce09834dfbfdea71251643d55d9301ce701e8fbab6be2dc53596
 size 437958648