End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.5392
-- Accuracy: 0.734
+- Loss: 0.5411
+- Accuracy: 0.744
 - F1: 0.8150
 
 ## Model description
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.637         | 1.0   | 501  | 0.5618          | 0.704    | 0.8    |
-| 0.6183        | 2.0   | 1002 | 0.5491          | 0.717    | 0.8068 |
-| 0.6042        | 3.0   | 1503 | 0.5392          | 0.734    | 0.8150 |
+| 0.6294        | 1.0   | 501  | 0.5809          | 0.706    | 0.8027 |
+| 0.5936        | 2.0   | 1002 | 0.5622          | 0.722    | 0.8106 |
+| 0.5532        | 3.0   | 1503 | 0.5411          | 0.744    | 0.8150 |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Jul26_10-46-49_264b66ae52c8/events.out.tfevents.1690368793.264b66ae52c8.562.0

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