End of training

README.md

@@ -19,10 +19,10 @@ 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: 0.1664
-- Precision: 0.5651
-- Recall: 0.6711
-- F1: 0.6135
+- Loss: 0.1619
+- Precision: 0.5696
+- Recall: 0.5938
+- F1: 0.5814
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 306  | 0.1202          | 0.6051    | 0.3770 | 0.4646 |
-| 0.0997        | 2.0   | 612  | 0.1257          | 0.5779    | 0.6569 | 0.6149 |
-| 0.0997        | 3.0   | 918  | 0.1664          | 0.5651    | 0.6711 | 0.6135 |
+| No log        | 1.0   | 306  | 0.1329          | 0.5745    | 0.4288 | 0.4911 |
+| 0.1007        | 2.0   | 612  | 0.1360          | 0.5818    | 0.5900 | 0.5859 |
+| 0.1007        | 3.0   | 918  | 0.1619          | 0.5696    | 0.5938 | 0.5814 |
 
 
 ### Framework versions

model.safetensors

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runs/May20_14-53-37_a735c1710bce/events.out.tfevents.1716216818.a735c1710bce.341.0

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