End of training

README.md

@@ -17,7 +17,7 @@ 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: 0.6933
+- Loss: 0.6931
 - Accuracy: 0.5
 
 ## Model description
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 100  | 0.6966          | 0.5      |
+| No log        | 0.8   | 100  | 0.6953          | 0.5      |
 | No log        | 1.6   | 200  | 0.6935          | 0.5      |
-| No log        | 2.4   | 300  | 0.6987          | 0.5      |
-| No log        | 3.2   | 400  | 0.7054          | 0.5      |
-| 0.7           | 4.0   | 500  | 0.6979          | 0.5      |
-| 0.7           | 4.8   | 600  | 0.6977          | 0.5      |
-| 0.7           | 5.6   | 700  | 0.6932          | 0.5      |
-| 0.7           | 6.4   | 800  | 0.6937          | 0.5      |
-| 0.7           | 7.2   | 900  | 0.6939          | 0.5      |
-| 0.6966        | 8.0   | 1000 | 0.6933          | 0.5      |
+| No log        | 2.4   | 300  | 0.6944          | 0.5      |
+| No log        | 3.2   | 400  | 0.7211          | 0.5      |
+| 0.6989        | 4.0   | 500  | 0.6967          | 0.5      |
+| 0.6989        | 4.8   | 600  | 0.6940          | 0.5      |
+| 0.6989        | 5.6   | 700  | 0.6933          | 0.5      |
+| 0.6989        | 6.4   | 800  | 0.6941          | 0.5      |
+| 0.6989        | 7.2   | 900  | 0.6937          | 0.5      |
+| 0.6965        | 8.0   | 1000 | 0.6931          | 0.5      |
 
 
 ### Framework versions