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: 0.1913
-- Precision: 0.5690
-- Recall: 0.6296
-- F1: 0.5978
+- Loss: 0.1403
+- Precision: 0.4926
+- Recall: 0.5024
+- F1: 0.4974
 
 ## Model description
 
@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 306  | 0.1288          | 0.5941    | 0.4015 | 0.4792 |
-| 0.1017        | 2.0   | 612  | 0.1264          | 0.5569    | 0.5627 | 0.5598 |
-| 0.1017        | 3.0   | 918  | 0.1680          | 0.5758    | 0.5975 | 0.5865 |
-| 0.0273        | 4.0   | 1224 | 0.1913          | 0.5690    | 0.6296 | 0.5978 |
+| No log        | 1.0   | 306  | 0.1222          | 0.4955    | 0.3657 | 0.4208 |
+| 0.1149        | 2.0   | 612  | 0.1239          | 0.5718    | 0.3977 | 0.4691 |
+| 0.1149        | 3.0   | 918  | 0.1318          | 0.5444    | 0.4797 | 0.5100 |
+| 0.0534        | 4.0   | 1224 | 0.1403          | 0.4926    | 0.5024 | 0.4974 |
 
 
 ### Framework versions

model.safetensors

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runs/May23_16-00-18_f3e5816089fc/events.out.tfevents.1716480019.f3e5816089fc.257.0

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