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-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4666
-- Accuracy: 0.8333
-- F1: 0.8832
+- Loss: 0.4713
+- Accuracy: 0.8358
+- F1: 0.8870
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5491        | 1.0   | 230  | 0.4561          | 0.7990   | 0.8673 |
-| 0.3059        | 2.0   | 460  | 0.4218          | 0.8309   | 0.8840 |
-| 0.1573        | 3.0   | 690  | 0.4666          | 0.8333   | 0.8832 |
+| 0.5838        | 1.0   | 230  | 0.5101          | 0.7672   | 0.8455 |
+| 0.3994        | 2.0   | 460  | 0.5092          | 0.8088   | 0.875  |
+| 0.2417        | 3.0   | 690  | 0.4713          | 0.8358   | 0.8870 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan25_12-02-01_ip-172-31-57-128/events.out.tfevents.1706184127.ip-172-31-57-128.18108.1

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