End of training

README.md

@@ -15,7 +15,7 @@ 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: 1.5601
+- Loss: 1.5221
 
 ## Model description
 
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 300  | 1.9767          |
-| 2.6586        | 2.0   | 600  | 1.5334          |
-| 2.6586        | 3.0   | 900  | 1.4648          |
-| 1.2046        | 4.0   | 1200 | 1.5033          |
-| 0.8101        | 5.0   | 1500 | 1.5601          |
+| No log        | 1.0   | 300  | 2.1407          |
+| 2.7542        | 2.0   | 600  | 1.5523          |
+| 2.7542        | 3.0   | 900  | 1.4745          |
+| 1.2751        | 4.0   | 1200 | 1.4890          |
+| 0.8489        | 5.0   | 1500 | 1.5221          |
 
 
 ### Framework versions

runs/Apr06_23-29-33_Asus/events.out.tfevents.1712442573.Asus.9772.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6157
+oid sha256:be0572457d19ec32979421a59f9a5943127c00225f93ee89ee04df1186f37cc3
+size 6782