End of training

README.md

@@ -3,6 +3,8 @@ library_name: transformers
 base_model: bert-base-chinese
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: hw1-3-multiple_choice-bert-base-chinese-finetuned
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # hw1-3-multiple_choice-bert-base-chinese-finetuned
 
 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: 0.1183
+- Accuracy: 0.9588
 
 ## Model description
 
@@ -33,12 +38,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 7e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1372        | 1.0   | 1358 | 0.1183          | 0.9588   |
+
 
 ### Framework versions
 

runs/Sep19_07-41-29_c4ebc9f066ba/events.out.tfevents.1726731721.c4ebc9f066ba.445.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ab3359991ff4439120163130ada17664b5892552e75f904a6d0edf1812c225e8
-size 5574
+oid sha256:53d2d153abfb1cbffc2deb8aafc0c109053cc2d812b2c60f3c608b3e7d8a313f
+size 6251