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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6386
+- Loss: 3.5099
 
 ## Model description
 
@@ -46,16 +46,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 16   | 5.0567          |
-| No log        | 2.0   | 32   | 4.0548          |
-| No log        | 3.0   | 48   | 2.9992          |
-| No log        | 4.0   | 64   | 2.9496          |
-| No log        | 5.0   | 80   | 2.8201          |
-| No log        | 6.0   | 96   | 2.7632          |
-| No log        | 7.0   | 112  | 2.7562          |
-| No log        | 8.0   | 128  | 2.6751          |
-| No log        | 9.0   | 144  | 2.6288          |
-| No log        | 10.0  | 160  | 2.6386          |
+| No log        | 1.0   | 9    | 6.0203          |
+| No log        | 2.0   | 18   | 5.2171          |
+| No log        | 3.0   | 27   | 4.6551          |
+| No log        | 4.0   | 36   | 4.5080          |
+| No log        | 5.0   | 45   | 4.1615          |
+| No log        | 6.0   | 54   | 4.1443          |
+| No log        | 7.0   | 63   | 3.5935          |
+| No log        | 8.0   | 72   | 3.7299          |
+| No log        | 9.0   | 81   | 3.5616          |
+| No log        | 10.0  | 90   | 3.5099          |
 
 
 ### Framework versions