metadata
library_name: transformers
license: mit
base_model: w11wo/indonesian-roberta-base-sentiment-classifier
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
results: []
results
This model is a fine-tuned version of w11wo/indonesian-roberta-base-sentiment-classifier on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2566
- Accuracy: 0.9217
- F1 Macro: 0.9216
- F1 Weighted: 0.9216
- Precision Macro: 0.9222
- Recall Macro: 0.9217
- Precision Weighted: 0.9222
- Recall Weighted: 0.9217
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro | Precision Weighted | Recall Weighted |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.2227 | 1.0438 | 500 | 0.2626 | 0.9228 | 0.9227 | 0.9227 | 0.9236 | 0.9227 | 0.9236 | 0.9228 |
| 0.2623 | 2.0877 | 1000 | 0.2595 | 0.9217 | 0.9216 | 0.9216 | 0.9220 | 0.9217 | 0.9220 | 0.9217 |
| 0.2573 | 3.1315 | 1500 | 0.2587 | 0.9217 | 0.9216 | 0.9216 | 0.9222 | 0.9217 | 0.9222 | 0.9217 |
| 0.2262 | 4.1754 | 2000 | 0.2566 | 0.9217 | 0.9216 | 0.9216 | 0.9222 | 0.9217 | 0.9222 | 0.9217 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1