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 [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3214
-- Accuracy: 0.5706
+- Loss: 1.3867
+- Accuracy: 0.6017
 
 ## Model description
 
@@ -42,17 +42,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2007        | 1.0   | 752  | 1.0278          | 0.5349   |
-| 0.8959        | 2.0   | 1504 | 1.0533          | 0.5836   |
-| 0.5153        | 3.0   | 2256 | 1.2695          | 0.5791   |
-| 0.2566        | 4.0   | 3008 | 2.0016          | 0.5912   |
-| 0.1276        | 5.0   | 3760 | 2.3214          | 0.5706   |
+| 1.1769        | 1.0   | 752  | 1.0007          | 0.5736   |
+| 0.7735        | 2.0   | 1504 | 0.9846          | 0.5977   |
+| 0.3761        | 3.0   | 2256 | 1.3867          | 0.6017   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8422d80724d30351c51b22a9b97b55757ab02e4d002389dad12d821f9cef7952
+oid sha256:a29aff77369bd7a5bc531b5fed57bff68bdc7553ae0becc857372cc1d302a0a5
 size 409097164