End of training

README.md

@@ -18,9 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7573
-- Accuracy: 0.82
-- F1: 0.8207
+- Loss: 0.7408
+- Accuracy: 0.8185
+- F1: 0.8182
+- Log Loss: 0.7408
 
 ## Model description
 
@@ -50,13 +51,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.6738        | 1.0   | 750  | 0.8938          | 0.712    | 0.7142 |
-| 0.7626        | 2.0   | 1500 | 0.8021          | 0.7645   | 0.7633 |
-| 0.6333        | 3.0   | 2250 | 0.7307          | 0.7965   | 0.7997 |
-| 0.5001        | 4.0   | 3000 | 0.6905          | 0.817    | 0.8181 |
-| 0.3686        | 5.0   | 3750 | 0.7573          | 0.82     | 0.8207 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Log Loss |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|
+| 1.6221        | 1.0   | 750  | 0.8552          | 0.702    | 0.7047 | 0.8552   |
+| 0.8073        | 2.0   | 1500 | 0.7856          | 0.772    | 0.7701 | 0.7856   |
+| 0.6747        | 3.0   | 2250 | 0.7987          | 0.785    | 0.7875 | 0.7987   |
+| 0.5195        | 4.0   | 3000 | 0.7529          | 0.8125   | 0.8132 | 0.7529   |
+| 0.4164        | 5.0   | 3750 | 0.7408          | 0.8185   | 0.8182 | 0.7408   |
 
 
 ### Framework versions