End of training

README.md

@@ -18,9 +18,9 @@ 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: 0.4163
-- Accuracy: 0.8314
-- F1: 0.8297
+- Loss: 0.5662
+- Accuracy: 0.8376
+- F1: 0.8363
 
 ## Model description
 
@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5081        | 1.0   | 667  | 0.4139          | 0.8271   | 0.8260 |
-| 0.6191        | 2.0   | 1334 | 0.5852          | 0.8113   | 0.8120 |
-| 0.3422        | 3.0   | 2001 | 0.6143          | 0.8292   | 0.8288 |
+| 0.4346        | 1.0   | 667  | 0.4044          | 0.8192   | 0.8190 |
+| 0.5775        | 2.0   | 1334 | 0.4904          | 0.8222   | 0.8220 |
+| 0.3408        | 3.0   | 2001 | 0.5864          | 0.8341   | 0.8332 |
 
 
 ### Framework versions

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