<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
bert-base-indonesian-522M-finetuned-sentiment
This model is a fine-tuned version of cahya/bert-base-indonesian-522M on the English & Indonesian sentiment dataset. It achieves the following results on the evaluation set:
- Loss: 0.5026
- Accuracy: 0.8376
- F1: 0.8363
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: 2e-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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4893 | 1.0 | 1185 | 0.4359 | 0.8211 | 0.8274 |
| 0.2842 | 2.0 | 2370 | 0.5026 | 0.8376 | 0.8363 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
