EN3S/NLP_assignment_2

README.md

@@ -18,7 +18,7 @@ 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: 0.7257
+- Loss: 0.9273
 - Accuracy: 0.6570
 
 ## Model description
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6777        | 1.0   | 39   | 0.6829          | 0.5343   |
-| 0.5889        | 2.0   | 78   | 0.6329          | 0.6318   |
-| 0.3605        | 3.0   | 117  | 0.7257          | 0.6570   |
-| 0.1758        | 4.0   | 156  | 1.0552          | 0.6354   |
-| 0.079         | 5.0   | 195  | 1.2655          | 0.6570   |
+| 0.6777        | 1.0   | 39   | 0.6834          | 0.5415   |
+| 0.5929        | 2.0   | 78   | 0.6242          | 0.6354   |
+| 0.3692        | 3.0   | 117  | 0.7174          | 0.6462   |
+| 0.1572        | 4.0   | 156  | 0.9273          | 0.6570   |
+| 0.0605        | 5.0   | 195  | 1.3611          | 0.6354   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e5720038bc45e8ba58f1d28a144da3b7cf0c5e5809347780927dc650d2ccebed
+oid sha256:412f9273b330a691e1d2f17f66ad772a8d5ae3052958dbafa9c26df5eddb1dce
 size 437958648