Model save

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: 0.0031
+- Loss: 0.0032
 - Accuracy: 1.0
 - F1: 1.0
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
-| No log        | 1.0   | 62   | 0.0096          | 1.0      | 1.0 |
+| No log        | 1.0   | 62   | 0.0095          | 1.0      | 1.0 |
 | No log        | 2.0   | 124  | 0.0039          | 1.0      | 1.0 |
-| No log        | 3.0   | 186  | 0.0031          | 1.0      | 1.0 |
+| No log        | 3.0   | 186  | 0.0032          | 1.0      | 1.0 |
 
 
 ### Framework versions