
<!-- 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. -->

# me_sentiment_lvlup

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: 3.6112
- Accuracy: 0.5485

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.0073        | 1.0   | 1602  | 0.9758          | 0.5287   |
| 0.8688        | 2.0   | 3204  | 0.9874          | 0.5401   |
| 0.7153        | 3.0   | 4806  | 1.0188          | 0.5512   |
| 0.5143        | 4.0   | 6408  | 1.1836          | 0.5489   |
| 0.3528        | 5.0   | 8010  | 1.5963          | 0.5529   |
| 0.2451        | 6.0   | 9612  | 1.9064          | 0.5417   |
| 0.1768        | 7.0   | 11214 | 2.4389          | 0.5467   |
| 0.1257        | 8.0   | 12816 | 3.0958          | 0.5504   |
| 0.1081        | 9.0   | 14418 | 3.4516          | 0.5462   |
| 0.0755        | 10.0  | 16020 | 3.6112          | 0.5485   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cpu
- Datasets 2.14.5
- Tokenizers 0.14.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa", "model-index": [{"name": "me_sentiment_lvlup", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa autotrain_compatible endpoints_compatible region:us