| | --- |
| | library_name: transformers |
| | base_model: monologg/koelectra-small-finetuned-sentiment |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: koelectra_emotion_v4 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # koelectra_emotion_v4 |
| |
|
| | This model is a fine-tuned version of [monologg/koelectra-small-finetuned-sentiment](https://huggingface.co/monologg/koelectra-small-finetuned-sentiment) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.3443 |
| | - Accuracy: 0.5678 |
| | - F1: 0.5658 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 64 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | | 1.8003 | 1.0 | 598 | 1.5736 | 0.4017 | 0.3661 | |
| | | 1.4448 | 2.0 | 1196 | 1.3784 | 0.4973 | 0.4848 | |
| | | 1.2459 | 3.0 | 1794 | 1.2953 | 0.5323 | 0.5219 | |
| | | 1.1153 | 4.0 | 2392 | 1.2637 | 0.5536 | 0.5506 | |
| | | 1.0145 | 5.0 | 2990 | 1.2860 | 0.5585 | 0.5543 | |
| | | 0.9391 | 6.0 | 3588 | 1.2813 | 0.5650 | 0.5642 | |
| | | 0.8732 | 7.0 | 4186 | 1.3113 | 0.5662 | 0.5644 | |
| | | 0.8311 | 8.0 | 4784 | 1.3305 | 0.5681 | 0.5676 | |
| | | 0.807 | 9.0 | 5382 | 1.3444 | 0.5679 | 0.5659 | |
| | | 0.7933 | 10.0 | 5980 | 1.3443 | 0.5678 | 0.5658 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.56.1 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.0 |
| |
|
