End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3359
-- Mse: 0.3359
+- Loss: 0.2448
+- Mse: 0.2448
 
 ## Model description
 
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Mse    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0257        | 1.0   | 1    | 0.4269          | 0.4269 |
-| 0.0704        | 2.0   | 2    | 0.3875          | 0.3875 |
-| 0.0688        | 3.0   | 3    | 0.3359          | 0.3359 |
+| 0.0809        | 1.0   | 1    | 0.2419          | 0.2419 |
+| 0.1657        | 2.0   | 2    | 0.2289          | 0.2289 |
+| 0.0654        | 3.0   | 3    | 0.2448          | 0.2448 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 437955572

runs/Dec04_04-39-28_ba5326d02fd7/events.out.tfevents.1733287172.ba5326d02fd7.3573.7

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 version https://git-lfs.github.com/spec/v1
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+size 7040