---
license: mit
base_model: ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned  results on the evaluation set:
- Loss: 0.4952
- Accuracy: 0.8351
- F1: 0.8359

## 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: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6964        | 1.0   | 73   | 0.5906          | 0.8110   | 0.8152 |
| 0.6407        | 2.0   | 146  | 0.4614          | 0.8007   | 0.8035 |
| 0.418         | 3.0   | 219  | 0.4952          | 0.8351   | 0.8359 |
| 0.1811        | 4.0   | 292  | 0.5943          | 0.8110   | 0.8114 |
| 0.1383        | 5.0   | 365  | 0.6963          | 0.8110   | 0.8121 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1