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: 1.6273
+- Loss: 1.7225
 
 ## Model description
 
@@ -46,11 +46,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 300  | 2.0632          |
-| 2.6266        | 2.0   | 600  | 1.6360          |
-| 2.6266        | 3.0   | 900  | 1.5878          |
-| 1.1835        | 4.0   | 1200 | 1.5808          |
-| 0.8248        | 5.0   | 1500 | 1.6273          |
+| No log        | 1.0   | 300  | 2.0572          |
+| 2.698         | 2.0   | 600  | 1.6886          |
+| 2.698         | 3.0   | 900  | 1.6651          |
+| 1.1807        | 4.0   | 1200 | 1.7021          |
+| 0.8186        | 5.0   | 1500 | 1.7225          |
 
 
 ### Framework versions

runs/Mar25_20-33-08_Asus/events.out.tfevents.1711398789.Asus.11072.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6148
+oid sha256:7a63817ad70c55a656d86eadcd8164a19cb32e2bd2d21f836a124a97e016f075
+size 6773