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: pogny-persona-emotion-bert-finetuning-1
   results: []
@@ -14,6 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 # pogny-persona-emotion-bert-finetuning-1
 
 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: 1.4030
+- Accuracy: 0.8256
+- F1: 0.8253
 
 ## Model description
 
@@ -42,11 +49,23 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.487         | 1.0   | 4153  | 0.4409          | 0.8322   | 0.8276 |
+| 0.374         | 2.0   | 8306  | 0.4491          | 0.8342   | 0.8330 |
+| 0.2794        | 3.0   | 12459 | 0.5038          | 0.8338   | 0.8316 |
+| 0.1871        | 4.0   | 16612 | 0.6531          | 0.8335   | 0.8322 |
+| 0.1428        | 5.0   | 20765 | 0.8888          | 0.8258   | 0.8240 |
+| 0.0968        | 6.0   | 24918 | 1.0803          | 0.8186   | 0.8186 |
+| 0.076         | 7.0   | 29071 | 1.1708          | 0.8267   | 0.8261 |
+| 0.0516        | 8.0   | 33224 | 1.2664          | 0.8270   | 0.8257 |
+| 0.0368        | 9.0   | 37377 | 1.3662          | 0.8270   | 0.8264 |
+| 0.0233        | 10.0  | 41530 | 1.4030          | 0.8256   | 0.8253 |
 
 
 ### 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