End of training

README.md

@@ -20,11 +20,11 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4363
-- Accuracy: 0.8547
-- F1: 0.5826
-- Precision: 0.5694
-- Recall: 0.5965
+- Loss: 0.3998
+- Accuracy: 0.8667
+- F1: 0.5913
+- Precision: 0.5783
+- Recall: 0.6071
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 1.0   | 90   | 0.6868          | 0.7366   | 0.5079 | 0.6612    | 0.5146 |
-| No log        | 2.0   | 180  | 0.4750          | 0.8465   | 0.5775 | 0.5651    | 0.5929 |
-| No log        | 3.0   | 270  | 0.4363          | 0.8547   | 0.5826 | 0.5694    | 0.5965 |
+| No log        | 1.0   | 90   | 0.6253          | 0.7732   | 0.5277 | 0.5181    | 0.5425 |
+| No log        | 2.0   | 180  | 0.4288          | 0.8541   | 0.5827 | 0.5704    | 0.5985 |
+| No log        | 3.0   | 270  | 0.3998          | 0.8667   | 0.5913 | 0.5783    | 0.6071 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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