---
license: mit
base_model: hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: 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. -->

# sentiment

This model is a fine-tuned version of [hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier](https://huggingface.co/hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6815
- Accuracy: 0.7266
- Precision: 0.7267
- Recall: 0.7266
- F1: 0.7267

## 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: 5e-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 | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.7972        | 1.0   | 1301 | 0.6830          | 0.7120   | 0.7230    | 0.7120 | 0.7073 |
| 0.5085        | 2.0   | 2602 | 0.6815          | 0.7266   | 0.7267    | 0.7266 | 0.7267 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2