End of training

README.md

@@ -16,8 +16,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0231
-- Accuracy: 0.9973
+- Loss: 0.0002
+- Accuracy: 1.0
 
 ## Model description
 
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 214  | 0.1003          | 0.9850   |
-| No log        | 2.0   | 428  | 0.0372          | 0.9959   |
-| 0.0581        | 3.0   | 642  | 0.0231          | 0.9973   |
+| No log        | 1.0   | 245  | 0.0107          | 0.9959   |
+| No log        | 2.0   | 490  | 0.0021          | 0.9980   |
+| 0.0788        | 3.0   | 735  | 0.0002          | 1.0      |
 
 
 ### Framework versions

model.safetensors

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runs/Apr17_22-34-05_ml/events.out.tfevents.1713364445.ml.553623.0

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training_args.bin

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