End of training

README.md

@@ -1,6 +1,5 @@
 ---
-license: apache-2.0
-base_model: bert-base-cased
+base_model: princeton-nlp/sup-simcse-bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -17,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # BERT-Libertarian
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
+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.
 It achieves the following results on the evaluation set:
-- Loss: 0.1831
-- Precision: 0.5697
-- Recall: 0.5740
-- F1: 0.5718
+- Loss: 0.1178
+- Precision: 0.4975
+- Recall: 0.6115
+- F1: 0.5486
 
 ## Model description
 
@@ -53,9 +52,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 306  | 0.1200          | 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 |
+| No log        | 1.0   | 306  | 0.0845          | 0.4897    | 0.5538 | 0.5198 |
+| 0.0879        | 2.0   | 612  | 0.1011          | 0.4658    | 0.6162 | 0.5306 |
+| 0.0879        | 3.0   | 918  | 0.1178          | 0.4975    | 0.6115 | 0.5486 |
 
 
 ### Framework versions

model.safetensors

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runs/May16_16-36-48_bd7146f7c0ca/events.out.tfevents.1715877409.bd7146f7c0ca.289.0

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