End of training

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: princeton-nlp/sup-simcse-bert-base-uncased
+base_model: Farjfar/BERT-Libertarian
 tags:
 - generated_from_trainer
 metrics:
@@ -16,12 +16,12 @@ 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 [Farjfar/BERT-Libertarian](https://huggingface.co/Farjfar/BERT-Libertarian) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1155
-- Precision: 0.4862
-- Recall: 0.6053
-- F1: 0.5393
+- Loss: 0.1597
+- Precision: 0.4832
+- Recall: 0.6287
+- F1: 0.5464
 
 ## 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  | 0.0852          | 0.4574    | 0.5772 | 0.5103 |
-| 0.0829        | 2.0   | 612  | 0.0979          | 0.4655    | 0.5897 | 0.5203 |
-| 0.0829        | 3.0   | 918  | 0.1155          | 0.4862    | 0.6053 | 0.5393 |
+| 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 |
 
 
 ### Framework versions

model.safetensors

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runs/May19_08-10-24_868affc172b8/events.out.tfevents.1716106225.868affc172b8.460.8

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