metadata
license: mit
base_model: ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: best_berita_roberta_model_fold_3
results: []
best_berita_roberta_model_fold_3
This model is a fine-tuned version of ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1247
- Accuracy: 0.9833
- Precision: 0.9833
- Recall: 0.9836
- F1: 0.9834
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 |
|---|---|---|---|---|---|---|---|
| 0.5662 | 1.0 | 601 | 0.3954 | 0.9142 | 0.9181 | 0.9155 | 0.9140 |
| 0.2162 | 2.0 | 1202 | 0.2580 | 0.9525 | 0.9532 | 0.9532 | 0.9525 |
| 0.1503 | 3.0 | 1803 | 0.1226 | 0.9825 | 0.9826 | 0.9827 | 0.9826 |
| 0.0849 | 4.0 | 2404 | 0.3352 | 0.9609 | 0.9615 | 0.9615 | 0.9609 |
| 0.0257 | 5.0 | 3005 | 0.1938 | 0.9725 | 0.9728 | 0.9730 | 0.9725 |
| 0.0277 | 6.0 | 3606 | 0.1247 | 0.9833 | 0.9833 | 0.9836 | 0.9834 |
| 0.0123 | 7.0 | 4207 | 0.1741 | 0.9800 | 0.9801 | 0.9803 | 0.9800 |
| 0.0061 | 8.0 | 4808 | 0.1870 | 0.9792 | 0.9793 | 0.9795 | 0.9792 |
| 0.0 | 9.0 | 5409 | 0.1793 | 0.9817 | 0.9817 | 0.9820 | 0.9817 |
| 0.0 | 10.0 | 6010 | 0.1802 | 0.9817 | 0.9817 | 0.9820 | 0.9817 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1