End of training

README.md

@@ -17,8 +17,8 @@ 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: 0.0607
-- Accuracy: 0.9741
+- Loss: 0.0180
+- Accuracy: 0.9925
 
 ## Model description
 
@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3965        | 1.0   | 575  | 0.0701          | 0.9726   |
-| 0.0689        | 2.0   | 1150 | 0.0607          | 0.9741   |
+| 0.0218        | 1.0   | 1586 | 0.0200          | 0.9908   |
+| 0.0193        | 2.0   | 3172 | 0.0180          | 0.9925   |
 
 
 ### Framework versions
 
-- Transformers 4.36.2
+- Transformers 4.37.0
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
 - Tokenizers 0.15.0

model.safetensors

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