End of training

README.md

@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Farjfar/BERT-Libertarian](https://huggingface.co/Farjfar/BERT-Libertarian) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1597
-- Precision: 0.4832
-- Recall: 0.6287
-- F1: 0.5464
+- Loss: 0.1711
+- Precision: 0.5071
+- Recall: 0.6115
+- F1: 0.5545
 
 ## Model description
 
@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 306  | 0.1210          | 0.4447    | 0.6521 | 0.5288 |
-| 0.0114        | 2.0   | 612  | 0.1350          | 0.4865    | 0.6178 | 0.5443 |
-| 0.0114        | 3.0   | 918  | 0.1597          | 0.4832    | 0.6287 | 0.5464 |
+| No log        | 1.0   | 306  | 0.1536          | 0.5125    | 0.5741 | 0.5416 |
+| 0.0058        | 2.0   | 612  | 0.1672          | 0.4898    | 0.6349 | 0.5530 |
+| 0.0058        | 3.0   | 918  | 0.1711          | 0.5071    | 0.6115 | 0.5545 |
 
 
 ### Framework versions

model.safetensors

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runs/May19_08-15-32_868affc172b8/events.out.tfevents.1716106533.868affc172b8.460.10

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