bert-indonesian-finetuned-news-v2
This model is a fine-tuned version of ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3352
- F1: 0.8548
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: 1e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.2467 | 1.0 | 1000 | 0.3352 | 0.8548 |
| 0.3142 | 2.0 | 2000 | 0.3523 | 0.8576 |
| 0.2848 | 3.0 | 3000 | 0.3878 | 0.8584 |
| 0.2481 | 4.0 | 4000 | 0.4034 | 0.8676 |
| 0.2225 | 5.0 | 5000 | 0.4437 | 0.8705 |
| 0.2038 | 6.0 | 6000 | 0.4584 | 0.8706 |
| 0.1927 | 7.0 | 7000 | 0.4541 | 0.8710 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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