End of training

README.md

@@ -1,5 +1,6 @@
 ---
-base_model: Farjfar/BERT-Libertarian
+license: apache-2.0
+base_model: bert-base-cased
 tags:
 - generated_from_trainer
 metrics:
@@ -16,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # BERT-Libertarian
 
-This model is a fine-tuned version of [Farjfar/BERT-Libertarian](https://huggingface.co/Farjfar/BERT-Libertarian) on the None dataset.
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1958
-- Precision: 0.4701
-- Recall: 0.5881
-- F1: 0.5225
+- Loss: 0.1831
+- Precision: 0.5697
+- Recall: 0.5740
+- F1: 0.5718
 
 ## Model description
 
@@ -52,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| 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 |
+| No log        | 1.0   | 306  | 0.1200          | 0.5867    | 0.4722 | 0.5232 |
+| 0.1038        | 2.0   | 612  | 0.1409          | 0.5198    | 0.6324 | 0.5706 |
+| 0.1038        | 3.0   | 918  | 0.1831          | 0.5697    | 0.5740 | 0.5718 |
 
 
 ### Framework versions

model.safetensors

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 size 430911284

runs/May19_08-56-26_868affc172b8/events.out.tfevents.1716108987.868affc172b8.460.21

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