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---
base_model: ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
library_name: transformers
license: mit
metrics:
- f1
tags:
- generated_from_trainer
model-index:
- name: bert-indonesian-finetuned-news-v2
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-indonesian-finetuned-news-v2
This model is a fine-tuned version of [ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa](https://huggingface.co/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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