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: 0.0642
-- Accuracy: 0.9844
-- F1: 0.9844
-- Precision: 0.9848
-- Recall: 0.9844
+- Loss: 0.0389
+- Accuracy: 0.9938
+- F1: 0.9938
+- Precision: 0.9938
+- Recall: 0.9938
 
 ## Model description
 
@@ -56,11 +56,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.3508        | 1.0   | 160  | 0.2642          | 0.9031   | 0.9027 | 0.9102    | 0.9031 |
-| 0.4855        | 2.0   | 320  | 0.1365          | 0.975    | 0.9750 | 0.9751    | 0.975  |
-| 0.0655        | 3.0   | 480  | 0.0642          | 0.9844   | 0.9844 | 0.9848    | 0.9844 |
-| 0.0884        | 4.0   | 640  | 0.0699          | 0.9875   | 0.9875 | 0.9878    | 0.9875 |
-| 0.0006        | 5.0   | 800  | 0.0741          | 0.9844   | 0.9844 | 0.9845    | 0.9844 |
+| 0.2345        | 1.0   | 160  | 0.1980          | 0.9437   | 0.9437 | 0.9449    | 0.9437 |
+| 0.2676        | 2.0   | 320  | 0.1086          | 0.9844   | 0.9844 | 0.9848    | 0.9844 |
+| 0.0393        | 3.0   | 480  | 0.1011          | 0.9812   | 0.9812 | 0.9816    | 0.9812 |
+| 0.1025        | 4.0   | 640  | 0.0389          | 0.9938   | 0.9938 | 0.9938    | 0.9938 |
+| 0.0004        | 5.0   | 800  | 0.0654          | 0.9875   | 0.9875 | 0.9876    | 0.9875 |
 
 
 ### Framework versions

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