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: 1.6146
+- Loss: 1.5601
 
 ## Model description
 
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 300  | 2.1727          |
-| 2.6798        | 2.0   | 600  | 1.6308          |
-| 2.6798        | 3.0   | 900  | 1.5381          |
-| 1.2117        | 4.0   | 1200 | 1.5742          |
-| 0.8388        | 5.0   | 1500 | 1.6146          |
+| 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          |
 
 
 ### Framework versions

runs/Apr06_22-03-13_Asus/events.out.tfevents.1712437393.Asus.14904.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6157
+oid sha256:d9db66c21b7cbf29df504e7a1d808b740a5729b341af2b0d00db8e26d4a50891
+size 6782