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: 0.2758
-- Accuracy: 0.9346
+- Loss: 0.2628
+- Accuracy: 0.9463
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 27   | 0.2700          | 0.9369   |
-| No log        | 2.0   | 54   | 0.2792          | 0.9299   |
-| No log        | 3.0   | 81   | 0.2757          | 0.9416   |
-| 0.0507        | 4.0   | 108  | 0.2758          | 0.9346   |
+| No log        | 1.0   | 27   | 0.2552          | 0.9463   |
+| No log        | 2.0   | 54   | 0.3123          | 0.9299   |
+| No log        | 3.0   | 81   | 0.2624          | 0.9509   |
+| 0.0176        | 4.0   | 108  | 0.2628          | 0.9463   |
 
 
 ### Framework versions

model.safetensors

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runs/Nov11_17-27-30_77734afbc74f/events.out.tfevents.1762882050.77734afbc74f.302.7

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training_args.bin

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