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: 0.1178
-- Precision: 0.4975
-- Recall: 0.6115
-- F1: 0.5486
+- Loss: 0.1133
+- Precision: 0.5071
+- Recall: 0.6100
+- F1: 0.5538
 
 ## 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  | 0.0845          | 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 |
+| 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 |
 
 
 ### Framework versions

model.safetensors

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runs/May17_07-29-57_c80ef63ee1a8/events.out.tfevents.1715930998.c80ef63ee1a8.256.0

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