End of training

README.md

@@ -15,7 +15,7 @@ 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: 0.1214
+- Loss: 0.0156
 
 ## Model description
 
@@ -40,15 +40,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 7    | 0.4115          |
-| 0.7297        | 2.0   | 14   | 0.1834          |
-| 0.1589        | 3.0   | 21   | 0.1214          |
+| No log        | 1.0   | 7    | 0.3058          |
+| 0.6093        | 2.0   | 14   | 0.0692          |
+| 0.0904        | 3.0   | 21   | 0.0277          |
+| 0.0904        | 4.0   | 28   | 0.0386          |
+| 0.0343        | 5.0   | 35   | 0.0174          |
+| 0.0126        | 6.0   | 42   | 0.0156          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:537f4d6d7c088ecfb9f677137726be7f3cb3e4d6da11aef23a133627640f6992
+oid sha256:b33564274b6a98f46c070acf890ed783533461d63f1212d1c63b06fccfc83cf3
 size 406746908