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: 0.7747
-- F1: 0.8920
+- Loss: 0.8321
+- F1: 0.8725
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 157  | 1.9070          | 0.6876 |
-| 2.8337        | 2.0   | 314  | 0.9826          | 0.8615 |
-| 1.054         | 3.0   | 471  | 0.7747          | 0.8920 |
+| No log        | 1.0   | 157  | 2.0624          | 0.6571 |
+| 2.9518        | 2.0   | 314  | 1.0593          | 0.8374 |
+| 1.1419        | 3.0   | 471  | 0.8321          | 0.8725 |
 
 
 ### Framework versions

logs/events.out.tfevents.1721099465.llm-dpo-workbench-0.325.0

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model.safetensors

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