| --- |
| license: mit |
| base_model: ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: 22best_berita_roberta_model_fold_2 |
| 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. --> |
|
|
| # 22best_berita_roberta_model_fold_2 |
| |
| This model is a fine-tuned version of [ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5228 |
| - Accuracy: 0.8396 |
| - Precision: 0.8466 |
| - Recall: 0.8449 |
| - F1: 0.8396 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | No log | 1.0 | 106 | 0.6002 | 0.7594 | 0.7946 | 0.7514 | 0.7518 | |
| | No log | 2.0 | 212 | 0.5228 | 0.8396 | 0.8466 | 0.8449 | 0.8396 | |
| | No log | 3.0 | 318 | 1.1057 | 0.7877 | 0.8315 | 0.7948 | 0.7870 | |
| | No log | 4.0 | 424 | 1.1409 | 0.8208 | 0.8436 | 0.8303 | 0.8223 | |
| | 0.3962 | 5.0 | 530 | 1.2078 | 0.8066 | 0.8101 | 0.8118 | 0.8061 | |
| | 0.3962 | 6.0 | 636 | 1.6439 | 0.7877 | 0.8159 | 0.7772 | 0.7847 | |
| | 0.3962 | 7.0 | 742 | 1.4679 | 0.8160 | 0.8250 | 0.8073 | 0.8115 | |
| | 0.3962 | 8.0 | 848 | 1.2632 | 0.8396 | 0.8440 | 0.8335 | 0.8367 | |
| | 0.3962 | 9.0 | 954 | 1.2872 | 0.8396 | 0.8455 | 0.8328 | 0.8364 | |
| | 0.0113 | 10.0 | 1060 | 1.2936 | 0.8396 | 0.8455 | 0.8328 | 0.8364 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.2 |
| - Pytorch 2.1.2 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
| |
