Training completed!

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0552
-- Accuracy: 0.9152
+- Loss: 0.8032
+- Accuracy: 0.9168
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 6.1306        | 1.0   | 318  | 4.3729          | 0.7      |
-| 3.4791        | 2.0   | 636  | 2.2991          | 0.8358   |
-| 1.9597        | 3.0   | 954  | 1.4270          | 0.8858   |
-| 1.3145        | 4.0   | 1272 | 1.1323          | 0.9094   |
-| 1.0832        | 5.0   | 1590 | 1.0552          | 0.9152   |
+| 4.3135        | 1.0   | 318  | 3.3064          | 0.7216   |
+| 2.6572        | 2.0   | 636  | 1.9022          | 0.8461   |
+| 1.5805        | 3.0   | 954  | 1.1884          | 0.8868   |
+| 1.0451        | 4.0   | 1272 | 0.8897          | 0.9090   |
+| 0.8252        | 5.0   | 1590 | 0.8032          | 0.9168   |
 
 
 ### Framework versions

runs/Oct29_16-11-31_p16/events.out.tfevents.1730189503.p16.50689.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:88d354262503b791212433a84e2f08308dac116546e0ba42f2739d5ae9783526
-size 14896
+oid sha256:3dd2de862ad1c8e71e8ccf23d7230e1af48d196d9ab5ca46990c47ae9303a0ec
+size 15573