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---
license: mit
base_model: cahya/bert-base-indonesian-522M
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-indonesian-522M-finetuned-sentiment
results: []
---
<!-- 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](https://huggingface.co/cahya/bert-base-indonesian-522M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4749
- Accuracy: 0.8468
- F1: 0.8440
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.4958 | 1.0 | 1185 | 0.4446 | 0.8297 | 0.8250 |
| 0.2914 | 2.0 | 2370 | 0.4749 | 0.8468 | 0.8440 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
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