| --- |
| metrics: |
| - f1 |
| model-index: |
| - name: curse_classification |
| 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. --> |
|
|
| # curse_classification |
| |
| This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2780 |
| - Precision: 0.8727 |
| - Recall: 0.8752 |
| - F1: 0.8739 |
| - Accuracy: 0.8835 |
| |
| ## 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: 128 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | 0.3511 | 1.0 | 618 | 0.2939 | 0.8532 | 0.8591 | 0.8561 | 0.8720 | |
| | 0.2546 | 2.0 | 1236 | 0.2924 | 0.8721 | 0.8552 | 0.8636 | 0.8802 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.42.3 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.19.1 |
