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 [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5880
-- Accuracy: 0.748
-- F1: 0.8150
+- Loss: 0.6406
+- Accuracy: 0.737
+- F1: 0.8039
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6329        | 1.0   | 1502 | 0.5451          | 0.75     | 0.8237 |
-| 0.5888        | 2.0   | 3004 | 0.5412          | 0.752    | 0.8226 |
-| 0.5588        | 3.0   | 4506 | 0.5880          | 0.748    | 0.8150 |
+| 0.6121        | 1.0   | 1502 | 0.5418          | 0.743    | 0.8078 |
+| 0.5694        | 2.0   | 3004 | 0.5434          | 0.743    | 0.8150 |
+| 0.4986        | 3.0   | 4506 | 0.6406          | 0.737    | 0.8039 |
 
 
 ### Framework versions

pytorch_model.bin

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