End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0116
-- F1: 0.9975
-- Accuracy: 0.9975
-- Precision: 0.9975
-- Recall: 0.9975
+- Loss: 0.0133
+- F1: 0.9974
+- Accuracy: 0.9974
+- Precision: 0.9974
+- Recall: 0.9974
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | F1     | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
-| 0.0061        | 1.0   | 3713  | 0.0273          | 0.9941 | 0.9941   | 0.9941    | 0.9941 |
-| 0.0137        | 2.0   | 7426  | 0.0141          | 0.9970 | 0.9970   | 0.9970    | 0.9970 |
-| 0.0011        | 3.0   | 11139 | 0.0116          | 0.9975 | 0.9975   | 0.9975    | 0.9975 |
+| 0.0207        | 1.0   | 3713  | 0.0229          | 0.9956 | 0.9956   | 0.9956    | 0.9956 |
+| 0.0215        | 2.0   | 7426  | 0.0158          | 0.9963 | 0.9963   | 0.9963    | 0.9963 |
+| 0.001         | 3.0   | 11139 | 0.0133          | 0.9974 | 0.9974   | 0.9974    | 0.9974 |
 
 
 ### Framework versions

logs/events.out.tfevents.1722442215.55f9d1cda3bf.34.0

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