End of training

README.md

@@ -23,11 +23,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the hatexplain dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7629
-- Accuracy: 0.6959
-- Precision: 0.6889
-- Recall: 0.6959
-- F1: 0.6905
+- Loss: 0.7617
+- Accuracy: 0.6954
+- Precision: 0.6905
+- Recall: 0.6954
+- F1: 0.6911
 
 ## Model description
 
@@ -58,10 +58,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.6609        | 1.0   | 1923 | 0.7755          | 0.6727   | 0.6629    | 0.6727 | 0.6600 |
-| 0.8019        | 2.0   | 3846 | 0.7507          | 0.6831   | 0.6761    | 0.6831 | 0.6776 |
-| 0.8548        | 3.0   | 5769 | 0.7452          | 0.6800   | 0.6781    | 0.6800 | 0.6780 |
-| 0.6595        | 4.0   | 7692 | 0.7943          | 0.6831   | 0.6770    | 0.6831 | 0.6784 |
+| 0.6763        | 1.0   | 1923 | 0.7699          | 0.6629   | 0.6552    | 0.6629 | 0.6429 |
+| 0.8192        | 2.0   | 3846 | 0.7648          | 0.6712   | 0.6620    | 0.6712 | 0.6628 |
+| 0.7806        | 3.0   | 5769 | 0.7657          | 0.6571   | 0.6682    | 0.6571 | 0.6585 |
+| 0.6273        | 4.0   | 7692 | 0.8046          | 0.6769   | 0.6727    | 0.6769 | 0.6740 |
 
 
 ### Framework versions