You can deploy this model and start earning money today!

giwacorp/
ruko-id-indonesian-sentiment

Name: ruko-id-indonesian-sentiment
Availability: InStock

pytorch

safetensors

roberta

indonesian-roberta-base-sentiment-classifier

indonlu

1907.11692

mit

Views

No views yet

Indonesian RoBERTa Base Sentiment Classifier

Indonesian RoBERTa Base Sentiment Classifier is a sentiment-text-classification model based on the RoBERTa model. The model was originally the pre-trained Indonesian RoBERTa Base model, which is then fine-tuned on indonlu's SmSA dataset consisting of Indonesian comments and reviews.

After training, the model achieved an evaluation accuracy of 94.36% and F1-macro of 92.42%. On the benchmark test set, the model achieved an accuracy of 93.2% and F1-macro of 91.02%.

Hugging Face's Trainer class from the Transformers library was used to train the model. PyTorch was used as the backend framework during training, but the model remains compatible with other frameworks nonetheless.

Model

Model	#params	Arch.	Training/Validation data (text)
`indonesian-roberta-base-sentiment-classifier`	124M	RoBERTa Base	`SmSA`

Evaluation Results

The model was trained for 5 epochs and the best model was loaded at the end.

Epoch	Training Loss	Validation Loss	Accuracy	F1	Precision	Recall
1	0.342600	0.213551	0.928571	0.898539	0.909803	0.890694
2	0.190700	0.213466	0.934127	0.901135	0.925297	0.882757
3	0.125500	0.219539	0.942857	0.920901	0.927511	0.915193
4	0.083600	0.235232	0.943651	0.924227	0.926494	0.922048
5	0.059200	0.262473	0.942063	0.920583	0.924084	0.917351

How to Use

As Text Classifier

python

from transformers import pipeline

pretrained_name = "w11wo/indonesian-roberta-base-sentiment-classifier"

nlp = pipeline(
    "sentiment-analysis",
    model=pretrained_name,
    tokenizer=pretrained_name
)

nlp("Jangan sampai saya telpon bos saya ya!")

Disclaimer

Do consider the biases which come from both the pre-trained RoBERTa model and the SmSA dataset that may be carried over into the results of this model.

Author

Indonesian RoBERTa Base Sentiment Classifier was trained and evaluated by Wilson Wongso. All computation and development are done on Google Colaboratory using their free GPU access.

Citation

If used, please cite the following:

bibtex

@misc {wilson_wongso_2023,
	author       = { {Wilson Wongso} },
	title        = { indonesian-roberta-base-sentiment-classifier (Revision e402e46) },
	year         = 2023,
	url          = { https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier },
	doi          = { 10.57967/hf/0644 },
	publisher    = { Hugging Face }
}

giwacorp/ruko-id-indonesian-sentiment