Training complete

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-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1839
-- Precision: 0.5599
-- Recall: 0.6404
-- F1: 0.5974
-- Accuracy: 0.9539
+- Loss: 0.1838
+- Precision: 0.5626
+- Recall: 0.6396
+- F1: 0.5986
+- Accuracy: 0.9537
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 249  | 0.1792          | 0.4968    | 0.5868 | 0.5381 | 0.9493   |
-| No log        | 2.0   | 498  | 0.1762          | 0.534     | 0.6129 | 0.5707 | 0.9517   |
-| 0.1979        | 3.0   | 747  | 0.1839          | 0.5599    | 0.6404 | 0.5974 | 0.9539   |
+| No log        | 1.0   | 249  | 0.1846          | 0.4948    | 0.5417 | 0.5172 | 0.9482   |
+| No log        | 2.0   | 498  | 0.1801          | 0.5344    | 0.6113 | 0.5703 | 0.9500   |
+| 0.2042        | 3.0   | 747  | 0.1838          | 0.5626    | 0.6396 | 0.5986 | 0.9537   |
 
 
 ### Framework versions

runs/Nov10_22-26-24_5e50c0a8006b/events.out.tfevents.1731277586.5e50c0a8006b.8203.1

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