End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7739
-- Accuracy: 0.7988
+- Loss: 0.7793
+- Accuracy: 0.7993
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7521        | 1.0   | 2299 | 0.5759          | 0.7761   |
-| 0.3803        | 2.0   | 4598 | 0.5829          | 0.7968   |
-| 0.1542        | 3.0   | 6897 | 0.7739          | 0.7988   |
+| 0.7582        | 1.0   | 2299 | 0.5703          | 0.7783   |
+| 0.381         | 2.0   | 4598 | 0.5787          | 0.7950   |
+| 0.1529        | 3.0   | 6897 | 0.7793          | 0.7993   |
 
 
 ### Framework versions

model.safetensors

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 size 437955572

runs/Apr30_09-51-35_dbf7eb599eb2/events.out.tfevents.1714470696.dbf7eb599eb2.34.0

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