End of training

README.md

@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.1133
-- Precision: 0.5071
-- Recall: 0.6100
-- F1: 0.5538
+- Loss: 0.1141
+- Precision: 0.5119
+- Recall: 0.6053
+- F1: 0.5547
 
 ## 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  | 0.0824          | 0.4993    | 0.5304 | 0.5144 |
-| 0.0847        | 2.0   | 612  | 0.0947          | 0.4961    | 0.5881 | 0.5382 |
-| 0.0847        | 3.0   | 918  | 0.1133          | 0.5071    | 0.6100 | 0.5538 |
+| 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 |
 
 
 ### Framework versions

model.safetensors

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runs/May17_08-14-59_c80ef63ee1a8/events.out.tfevents.1715933700.c80ef63ee1a8.256.1

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