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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0621
-- Accuracy: 1.0
+- Loss: 0.0991
+- Accuracy: 0.9881
 
 ## Model description
 
@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 15   | 0.1063          | 1.0      |
-| No log        | 2.0   | 30   | 0.0621          | 1.0      |
+| No log        | 1.0   | 16   | 0.1252          | 0.9524   |
+| No log        | 2.0   | 32   | 0.0991          | 0.9881   |
 
 
 ### Framework versions
 
-- Transformers 4.40.1
+- Transformers 4.40.2
 - Pytorch 2.1.0
-- Datasets 2.19.0
+- Datasets 2.19.1
 - Tokenizers 0.19.1