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_5
results: []
best_berita_roberta_model_fold_5
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: 0.1318
- Accuracy: 0.9808
- Precision: 0.9811
- Recall: 0.9807
- F1: 0.9807
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 |
|---|---|---|---|---|---|---|---|
| 0.5679 | 1.0 | 601 | 0.1942 | 0.9425 | 0.9449 | 0.9419 | 0.9419 |
| 0.2491 | 2.0 | 1202 | 0.1654 | 0.9692 | 0.9691 | 0.9694 | 0.9691 |
| 0.1085 | 3.0 | 1803 | 0.1314 | 0.9742 | 0.9743 | 0.9741 | 0.9740 |
| 0.074 | 4.0 | 2404 | 0.2535 | 0.9575 | 0.9604 | 0.9568 | 0.9564 |
| 0.0255 | 5.0 | 3005 | 0.1318 | 0.9808 | 0.9811 | 0.9807 | 0.9807 |
| 0.0164 | 6.0 | 3606 | 0.1795 | 0.9759 | 0.9762 | 0.9756 | 0.9756 |
| 0.0 | 7.0 | 4207 | 0.2299 | 0.9725 | 0.9730 | 0.9723 | 0.9721 |
| 0.0039 | 8.0 | 4808 | 0.2241 | 0.9717 | 0.9723 | 0.9714 | 0.9713 |
| 0.0048 | 9.0 | 5409 | 0.2199 | 0.9717 | 0.9723 | 0.9714 | 0.9713 |
| 0.0 | 10.0 | 6010 | 0.2303 | 0.9717 | 0.9723 | 0.9714 | 0.9713 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1