End of training

README.md

@@ -19,9 +19,9 @@ 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: 0.2874
-- Accuracy: 0.9208
-- F1: 0.9207
+- Loss: 0.2541
+- Accuracy: 0.9182
+- F1: 0.9182
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2854          | 0.9103   | 0.9100 |
-| 0.1584        | 2.0   | 626  | 0.2874          | 0.9208   | 0.9207 |
+| No log        | 1.0   | 313  | 0.2705          | 0.9097   | 0.9094 |
+| 0.3128        | 2.0   | 626  | 0.2541          | 0.9182   | 0.9182 |
 
 
 ### Framework versions