End of training

README.md

@@ -21,11 +21,11 @@ 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: 0.3344
-- Accuracy: 0.9221
-- Precision: 0.4610
-- Recall: 0.5
-- F1: 0.4797
+- Loss: 0.3877
+- Accuracy: 0.9026
+- Precision: 0.4603
+- Recall: 0.4894
+- F1: 0.4744
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.3423        | 1.0   | 90   | 0.2787          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
-| 0.3475        | 2.0   | 180  | 0.2572          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
-| 0.2292        | 3.0   | 270  | 0.3344          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
+| 0.3461        | 1.0   | 90   | 0.2695          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
+| 0.3007        | 2.0   | 180  | 0.2820          | 0.9221   | 0.4610    | 0.5    | 0.4797 |
+| 0.1636        | 3.0   | 270  | 0.3877          | 0.9026   | 0.4603    | 0.4894 | 0.4744 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 437958648