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: 0.2951
-- Accuracy: 0.9416
+- Loss: 0.2941
+- Accuracy: 0.9509
 
 ## 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   | 0.3014          | 0.9299   |
-| No log        | 2.0   | 54   | 0.3059          | 0.9322   |
-| No log        | 3.0   | 81   | 0.2858          | 0.9416   |
-| 0.0492        | 4.0   | 108  | 0.2951          | 0.9416   |
+| No log        | 1.0   | 27   | 0.3172          | 0.9439   |
+| No log        | 2.0   | 54   | 0.2905          | 0.9509   |
+| No log        | 3.0   | 81   | 0.2847          | 0.9533   |
+| 0.0136        | 4.0   | 108  | 0.2941          | 0.9509   |
 
 
 ### Framework versions

model.safetensors

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runs/Nov11_17-33-26_77734afbc74f/events.out.tfevents.1762882406.77734afbc74f.302.8

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training_args.bin

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