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: 1.2945
-- Accuracy: 0.6173
+- Loss: 2.3214
+- Accuracy: 0.5706
 
 ## Model description
 
@@ -42,15 +42,17 @@ 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: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1575        | 1.0   | 752  | 0.9745          | 0.5665   |
-| 0.7673        | 2.0   | 1504 | 0.9862          | 0.6027   |
-| 0.3803        | 3.0   | 2256 | 1.2945          | 0.6173   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

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runs/Dec15_11-53-39_lolicon-VM/events.out.tfevents.1702612419.lolicon-VM.3541349.0

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