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 [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: 0.0011
-- Precision: 0.9996
-- Recall: 0.9998
-- F1: 0.9997
-- Accuracy: 0.9998
+- Loss: 0.0005
+- Precision: 0.9998
+- Recall: 0.9999
+- F1: 0.9998
+- Accuracy: 0.9999
 
 ## Model description
 
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0015        | 1.0   | 1001 | 0.0012          | 0.9996    | 0.9998 | 0.9997 | 0.9998   |
-| 0.0007        | 2.0   | 2002 | 0.0011          | 0.9996    | 0.9998 | 0.9997 | 0.9998   |
+| 0.0015        | 1.0   | 1001 | 0.0009          | 0.9996    | 0.9998 | 0.9997 | 0.9998   |
+| 0.0007        | 2.0   | 2002 | 0.0005          | 0.9998    | 0.9999 | 0.9998 | 0.9999   |
 
 
 ### Framework versions