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: 0.5501
-- Accuracy: 0.75
-- F1: 0.8156
+- Loss: 0.5412
+- Accuracy: 0.74
+- F1: 0.8113
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6338        | 1.0   | 751  | 0.5527          | 0.744    | 0.8215 |
-| 0.5734        | 2.0   | 1502 | 0.5396          | 0.746    | 0.8188 |
-| 0.5183        | 3.0   | 2253 | 0.5501          | 0.75     | 0.8156 |
+| 0.6342        | 1.0   | 751  | 0.5482          | 0.775    | 0.8342 |
+| 0.5988        | 2.0   | 1502 | 0.5480          | 0.741    | 0.8177 |
+| 0.5825        | 3.0   | 2253 | 0.5412          | 0.74     | 0.8113 |
 
 
 ### Framework versions

pytorch_model.bin

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