End of training

README.md

@@ -1,5 +1,6 @@
 ---
-base_model: princeton-nlp/sup-simcse-bert-base-uncased
+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 [princeton-nlp/sup-simcse-bert-base-uncased](https://huggingface.co/princeton-nlp/sup-simcse-bert-base-uncased) 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: 0.1141
-- Precision: 0.5119
-- Recall: 0.6053
-- F1: 0.5547
+- Loss: 0.1719
+- Precision: 0.5646
+- Recall: 0.5928
+- F1: 0.5784
 
 ## 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  | 0.0829          | 0.4728    | 0.5569 | 0.5115 |
-| 0.0849        | 2.0   | 612  | 0.0930          | 0.4826    | 0.6287 | 0.5461 |
-| 0.0849        | 3.0   | 918  | 0.1141          | 0.5119    | 0.6053 | 0.5547 |
+| No log        | 1.0   | 306  | 0.1170          | 0.5009    | 0.5156 | 0.5081 |
+| 0.1057        | 2.0   | 612  | 0.1382          | 0.5268    | 0.6013 | 0.5616 |
+| 0.1057        | 3.0   | 918  | 0.1719          | 0.5646    | 0.5928 | 0.5784 |
 
 
 ### Framework versions

model.safetensors

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 size 430911284

runs/May19_07-51-00_868affc172b8/events.out.tfevents.1716105061.868affc172b8.460.0

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