End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-chinese](https://huggingface.co/google-bert/bert-base-chinese) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1896
-- Accuracy: 0.9364
+- Loss: 0.1925
+- Accuracy: 0.9408
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 54   | 0.1921          | 0.9290   |
-| 0.2242        | 2.0   | 108  | 0.1809          | 0.9374   |
-| 0.2242        | 3.0   | 162  | 0.1872          | 0.9402   |
-| 0.0921        | 4.0   | 216  | 0.1896          | 0.9364   |
+| No log        | 1.0   | 61   | 0.2077          | 0.9169   |
+| 0.2467        | 2.0   | 122  | 0.1837          | 0.9367   |
+| 0.2467        | 3.0   | 183  | 0.1748          | 0.9429   |
+| 0.1094        | 4.0   | 244  | 0.1925          | 0.9408   |
 
 
 ### Framework versions

model.safetensors

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runs/Nov11_06-48-41_cc6996a4ba8f/events.out.tfevents.1762843722.cc6996a4ba8f.21178.3

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training_args.bin

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