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: 0.1711
-- Precision: 0.5071
-- Recall: 0.6115
-- F1: 0.5545
+- Loss: 0.1958
+- Precision: 0.4701
+- Recall: 0.5881
+- F1: 0.5225
 
 ## 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  | 0.1536          | 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 |
+| No log        | 1.0   | 306  | 0.2244          | 0.4529    | 0.5850 | 0.5106 |
+| 0.004         | 2.0   | 612  | 0.1698          | 0.5157    | 0.5382 | 0.5267 |
+| 0.004         | 3.0   | 918  | 0.1958          | 0.4701    | 0.5881 | 0.5225 |
 
 
 ### Framework versions

model.safetensors

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runs/May19_08-51-51_868affc172b8/events.out.tfevents.1716108712.868affc172b8.460.19

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