End of training

README.md

@@ -1,5 +1,6 @@
 ---
-base_model: Contrastive-Tension/BERT-Base-CT-STSb
+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 [Contrastive-Tension/BERT-Base-CT-STSb](https://huggingface.co/Contrastive-Tension/BERT-Base-CT-STSb) 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: 0.1146
-- Precision: 0.4943
-- Recall: 0.6115
-- F1: 0.5467
+- Loss: 0.1798
+- Precision: 0.5583
+- Recall: 0.5910
+- F1: 0.5742
 
 ## 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  | 0.0919          | 0.4068    | 0.5211 | 0.4569 |
-| 0.0931        | 2.0   | 612  | 0.0957          | 0.4700    | 0.6100 | 0.5309 |
-| 0.0931        | 3.0   | 918  | 0.1146          | 0.4943    | 0.6115 | 0.5467 |
+| No log        | 1.0   | 306  | 0.1235          | 0.5622    | 0.4430 | 0.4955 |
+| 0.1033        | 2.0   | 612  | 0.1375          | 0.5447    | 0.6089 | 0.5750 |
+| 0.1033        | 3.0   | 918  | 0.1798          | 0.5583    | 0.5910 | 0.5742 |
 
 
 ### Framework versions

model.safetensors

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 size 430911284

runs/May19_14-45-05_54e05bb8fb08/events.out.tfevents.1716129905.54e05bb8fb08.27661.0

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