End of training

README.md

@@ -14,7 +14,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2489
+- Loss: 2.4412
 
 ## Model description
 
@@ -39,27 +39,16 @@ 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
-- lr_scheduler_warmup_steps: 10
+- lr_scheduler_warmup_steps: 500
 - num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.3125 | 10   | 2.8092          |
-| No log        | 0.625  | 20   | 2.8664          |
-| No log        | 0.9375 | 30   | 2.8930          |
-| No log        | 1.25   | 40   | 3.0741          |
-| No log        | 1.5625 | 50   | 3.1788          |
-| No log        | 1.875  | 60   | 3.2591          |
-| No log        | 2.1875 | 70   | 3.2654          |
-| No log        | 2.5    | 80   | 3.2536          |
-| No log        | 2.8125 | 90   | 3.2486          |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1