End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0579
+- Loss: 0.0081
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 3    | 0.6765          |
-| No log        | 2.0   | 6    | 0.4325          |
-| No log        | 3.0   | 9    | 0.3368          |
-| 0.585         | 4.0   | 12   | 0.2514          |
-| 0.585         | 5.0   | 15   | 0.1669          |
-| 0.585         | 6.0   | 18   | 0.1169          |
-| 0.199         | 7.0   | 21   | 0.0904          |
-| 0.199         | 8.0   | 24   | 0.0721          |
-| 0.199         | 9.0   | 27   | 0.0616          |
-| 0.0821        | 10.0  | 30   | 0.0579          |
+| No log        | 1.0   | 3    | 0.6010          |
+| No log        | 2.0   | 6    | 0.2707          |
+| No log        | 3.0   | 9    | 0.1115          |
+| 0.4602        | 4.0   | 12   | 0.0587          |
+| 0.4602        | 5.0   | 15   | 0.0362          |
+| 0.4602        | 6.0   | 18   | 0.0200          |
+| 0.0664        | 7.0   | 21   | 0.0138          |
+| 0.0664        | 8.0   | 24   | 0.0104          |
+| 0.0664        | 9.0   | 27   | 0.0087          |
+| 0.0205        | 10.0  | 30   | 0.0081          |
 
 
 ### Framework versions