End of training

README.md

@@ -1,8 +1,10 @@
 ---
-license: apache-2.0
-base_model: bert-base-uncased
+library_name: transformers
+base_model: bert-base-chinese
 tags:
 - generated_from_trainer
+metrics:
+- f1
 model-index:
 - name: ExampleModel
   results: []
@@ -13,9 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ExampleModel
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+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: 0.0068
+- Loss: 0.3261
+- F1: 0.8553
 
 ## Model description
 
@@ -45,14 +48,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.0074        | 1.0   | 625  | 0.0068          |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.349         | 1.0   | 625  | 0.3261          | 0.8553 |
 
 
 ### Framework versions
 
-- Transformers 4.44.0
-- Pytorch 2.4.0
-- Datasets 2.21.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
 - Tokenizers 0.19.1