End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0302
-- Accuracy: 1.0
+- Loss: 0.1095
+- Accuracy: 0.9796
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 26   | 0.1673          | 0.9904   |
-| No log        | 2.0   | 52   | 0.0414          | 1.0      |
-| No log        | 3.0   | 78   | 0.0302          | 1.0      |
+| No log        | 1.0   | 58   | 0.1248          | 0.9592   |
+| No log        | 2.0   | 116  | 0.1100          | 0.9592   |
+| No log        | 3.0   | 174  | 0.1095          | 0.9796   |
 
 
 ### Framework versions