End of training

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8014
-- F1: 0.9731
+- Loss: 0.8270
+- F1: 0.9461
 
 ## Model description
 
@@ -47,21 +47,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 10   | 1.6255          | 0.6918 |
-| No log        | 2.0   | 20   | 1.4526          | 0.8397 |
-| No log        | 3.0   | 30   | 1.3031          | 0.8858 |
-| No log        | 4.0   | 40   | 1.1643          | 0.9118 |
-| No log        | 5.0   | 50   | 1.0448          | 0.9464 |
-| No log        | 6.0   | 60   | 0.9549          | 0.9597 |
-| No log        | 7.0   | 70   | 0.8845          | 0.9662 |
-| No log        | 8.0   | 80   | 0.8467          | 0.9662 |
-| No log        | 9.0   | 90   | 0.8094          | 0.9731 |
-| No log        | 10.0  | 100  | 0.8014          | 0.9731 |
+| No log        | 1.0   | 10   | 1.6377          | 0.6304 |
+| No log        | 2.0   | 20   | 1.4787          | 0.8389 |
+| No log        | 3.0   | 30   | 1.3397          | 0.8549 |
+| No log        | 4.0   | 40   | 1.2044          | 0.9127 |
+| No log        | 5.0   | 50   | 1.0852          | 0.9119 |
+| No log        | 6.0   | 60   | 0.9919          | 0.9125 |
+| No log        | 7.0   | 70   | 0.9203          | 0.9259 |
+| No log        | 8.0   | 80   | 0.8691          | 0.9393 |
+| No log        | 9.0   | 90   | 0.8390          | 0.9461 |
+| No log        | 10.0  | 100  | 0.8270          | 0.9461 |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
-- Pytorch 2.0.1+cu118
-- Datasets 2.13.1
-- Tokenizers 0.13.3
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0