metadata
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: []
22best_berita_roberta_model_fold_2
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: 0.5228
- 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