End of training

README.md

@@ -18,8 +18,8 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3005
-- Accuracy: 0.9090
+- Loss: 0.2738
+- Accuracy: 0.9172
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.902         | 1.0   | 725  | 0.3692          | 0.8790   |
-| 0.4185        | 2.0   | 1450 | 0.3158          | 0.9015   |
-| 0.2891        | 3.0   | 2175 | 0.3019          | 0.9092   |
-| 0.251         | 4.0   | 2900 | 0.3005          | 0.9090   |
+| 0.8678        | 1.0   | 931  | 0.3671          | 0.8852   |
+| 0.3289        | 2.0   | 1862 | 0.3020          | 0.9015   |
+| 0.2606        | 3.0   | 2793 | 0.2743          | 0.9142   |
+| 0.228         | 4.0   | 3724 | 0.2738          | 0.9172   |
 
 
 ### Framework versions