End of training

README.md

@@ -3,6 +3,9 @@ license: cc-by-sa-4.0
 base_model: klue/bert-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: degree-bert-finetuning-2
   results: []
@@ -14,6 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 # degree-bert-finetuning-2
 
 This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Accuracy: 0.1086
+- F1: 0.0213
 
 ## Model description
 
@@ -38,15 +45,18 @@ 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: 20
+- num_epochs: 1
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 1.4729        | 1.0   | 201  | nan             | 0.1086   | 0.0213 |
 
 
 ### Framework versions
 
-- Transformers 4.32.1
-- Pytorch 2.2.0+cu121
-- Datasets 2.12.0
-- Tokenizers 0.13.2
+- Transformers 4.38.1
+- Pytorch 2.2.0
+- Datasets 2.17.1
+- Tokenizers 0.15.2