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: 0.5741
-- Accuracy: 0.727
-- F1: 0.7976
+- Loss: 0.5683
+- 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     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6256        | 1.0   | 751  | 0.5479          | 0.759    | 0.8245 |
-| 0.5624        | 2.0   | 1502 | 0.5343          | 0.749    | 0.8198 |
-| 0.5057        | 3.0   | 2253 | 0.5741          | 0.727    | 0.7976 |
+| 0.6273        | 1.0   | 751  | 0.5390          | 0.75     | 0.8234 |
+| 0.5603        | 2.0   | 1502 | 0.5430          | 0.751    | 0.8202 |
+| 0.4999        | 3.0   | 2253 | 0.5683          | 0.737    | 0.8039 |
 
 
 ### Framework versions

pytorch_model.bin

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