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: 0.3382
+- Loss: 0.2747
 - 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     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.3581        | 1.0   | 90   | 0.3100          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
-| 0.3468        | 2.0   | 180  | 0.2692          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
-| 0.2217        | 3.0   | 270  | 0.3382          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
+| 0.3708        | 1.0   | 90   | 0.2728          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
+| 0.3405        | 2.0   | 180  | 0.2735          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
+| 0.2816        | 3.0   | 270  | 0.2747          | 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:a010492f2138439f67312df991489c39989d6570726f618cdd0a3005f215fd5a
 size 437958648