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: 0.0991
-- Precision: 0.6526
-- Recall: 0.3897
-- F1: 0.4880
+- Loss: 0.0992
+- Precision: 0.6178
+- Recall: 0.2607
+- F1: 0.3666
 
 ## Model description
 
@@ -53,7 +53,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 102  | 0.0991          | 0.6526    | 0.3897 | 0.4880 |
+| No log        | 1.0   | 102  | 0.0992          | 0.6178    | 0.2607 | 0.3666 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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