Training completed!

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0408
+- Loss: 0.0404
 - Accuracy: 0.9932
 - F1: 0.9932
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.2088        | 1.0   | 2188 | 0.0386          | 0.9927   | 0.9927 |
-| 0.0105        | 2.0   | 4376 | 0.0408          | 0.9932   | 0.9932 |
+| 0.1351        | 1.0   | 2188 | 0.0373          | 0.9929   | 0.9929 |
+| 0.0122        | 2.0   | 4376 | 0.0404          | 0.9932   | 0.9932 |
 
 
 ### Framework versions

config.json

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pytorch_model.bin

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