End of training

README.md

@@ -21,7 +21,7 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3063
+- Loss: 0.3266
 - Accuracy: 0.9221
 - Precision: 0.4610
 - Recall: 0.5
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.3508        | 1.0   | 90   | 0.2738          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
-| 0.3247        | 2.0   | 180  | 0.2540          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
-| 0.2139        | 3.0   | 270  | 0.3063          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
+| 0.344         | 1.0   | 90   | 0.2761          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
+| 0.3213        | 2.0   | 180  | 0.2553          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
+| 0.2263        | 3.0   | 270  | 0.3266          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:89da1b3ae45481d743fccd076865e3fb9cd4836a24994723b462be3a771df9bc
 size 437958648