End of training

README.md

@@ -18,7 +18,7 @@ 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: 0.2615
+- Loss: 0.2100
 - Accuracy: 0.9299
 
 ## 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   | 0.2657          | 0.9019   |
-| No log        | 2.0   | 54   | 0.2319          | 0.9159   |
-| No log        | 3.0   | 81   | 0.2677          | 0.9229   |
-| 0.2107        | 4.0   | 108  | 0.2615          | 0.9299   |
+| No log        | 1.0   | 27   | 0.2569          | 0.9019   |
+| No log        | 2.0   | 54   | 0.1983          | 0.9322   |
+| No log        | 3.0   | 81   | 0.2077          | 0.9322   |
+| 0.2082        | 4.0   | 108  | 0.2100          | 0.9299   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 409100240

runs/Nov11_17-16-30_77734afbc74f/events.out.tfevents.1762881392.77734afbc74f.302.5

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training_args.bin

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