
## Javanese DistilBERT Small IMDB Classifier
Javanese DistilBERT Small IMDB Classifier is a movie-classification model based on the [DistilBERT model](https://arxiv.org/abs/1910.01108). It was trained on Javanese IMDB movie reviews.

The model was originally [`w11wo/javanese-distilbert-small-imdb`](https://huggingface.co/w11wo/javanese-distilbert-small-imdb) which is then fine-tuned on the [`w11wo/imdb-javanese`](https://huggingface.co/datasets/w11wo/imdb-javanese) dataset consisting of Javanese IMDB movie reviews. It achieved an accuracy of 76.04% on the validation dataset. Many of the techniques used are based on a Hugging Face tutorial [notebook](https://github.com/huggingface/notebooks/blob/master/examples/text_classification.ipynb) written by [Sylvain Gugger](https://github.com/sgugger).

Hugging Face's `Trainer` class from the [Transformers](https://huggingface.co/transformers) library was used to train the model. PyTorch was used as the backend framework during training, but the model remains compatible with TensorFlow nonetheless.

## Model
| Model                                       | #params | Arch.            | Training/Validation data (text) |
|---------------------------------------------|---------|------------------|---------------------------------|
| `javanese-distilbert-small-imdb-classifier` |   66M   | DistilBERT Small | Javanese IMDB (47.5 MB of text) |

## Evaluation Results
The model was trained for 5 epochs and the following is the final result once the training ended.

| train loss | valid loss |  accuracy  | total time |
|------------|------------|------------|------------|
|    0.131   |    1.113   |   0.760    |   1:26:4   |

## How to Use
### As Text Classifier
```python
from transformers import pipeline

pretrained_name = "w11wo/javanese-distilbert-small-imdb-classifier"

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

nlp("Film sing apik banget!")
```

## Disclaimer
Do consider the biases which came from the IMDB review that may be carried over into the results of this model.

## Author
Javanese DistilBERT Small IMDB Classifier was trained and evaluated by [Wilson Wongso](https://w11wo.github.io/). All computation and development are done on Google Colaboratory using their free GPU access.

## Citation

If you use any of our models in your research, please cite:

```bib
@inproceedings{wongso2021causal,
    title={Causal and Masked Language Modeling of Javanese Language using Transformer-based Architectures},
    author={Wongso, Wilson and Setiawan, David Samuel and Suhartono, Derwin},
    booktitle={2021 International Conference on Advanced Computer Science and Information Systems (ICACSIS)},
    pages={1--7},
    year={2021},
    organization={IEEE}
}
```

{"language": "jv", "license": "mit", "tags": ["javanese-distilbert-small-imdb-classifier"], "datasets": ["w11wo/imdb-javanese"], "widget": [{"text": "Aku babar pisan ora nikmati film iki."}]}
transformers pytorch tf distilbert text-classification javanese-distilbert-small-imdb-classifier jv dataset:w11wo/imdb-javanese arxiv:1910.01108 license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #distilbert #text-classification #javanese-distilbert-small-imdb-classifier #jv #dataset-w11wo/imdb-javanese #arxiv-1910.01108 #license-mit #autotrain_compatible #endpoints_compatible #region-us 

Javanese DistilBERT Small IMDB Classifier
-----------------------------------------


Javanese DistilBERT Small IMDB Classifier is a movie-classification model based on the DistilBERT model. It was trained on Javanese IMDB movie reviews.


The model was originally 'w11wo/javanese-distilbert-small-imdb' which is then fine-tuned on the 'w11wo/imdb-javanese' dataset consisting of Javanese IMDB movie reviews. It achieved an accuracy of 76.04% on the validation dataset. Many of the techniques used are based on a Hugging Face tutorial notebook written by Sylvain Gugger.


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 TensorFlow nonetheless.


Model
-----



Evaluation Results
------------------


The model was trained for 5 epochs and the following is the final result once the training ended.



How to Use
----------


### As Text Classifier


Disclaimer
----------


Do consider the biases which came from the IMDB review that may be carried over into the results of this model.


Author
------


Javanese DistilBERT Small IMDB Classifier was trained and evaluated by Wilson Wongso. All computation and development are done on Google Colaboratory using their free GPU access.


If you use any of our models in your research, please cite:



### As Text Classifier


Disclaimer
----------


Do consider the biases which came from the IMDB review that may be carried over into the results of this model.


Author
------


Javanese DistilBERT Small IMDB Classifier was trained and evaluated by Wilson Wongso. All computation and development are done on Google Colaboratory using their free GPU access.


If you use any of our models in your research, please cite:
TAGS
#transformers #pytorch #tf #distilbert #text-classification #javanese-distilbert-small-imdb-classifier #jv #dataset-w11wo/imdb-javanese #arxiv-1910.01108 #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 ### As Text Classifier


Disclaimer
----------


Do consider the biases which came from the IMDB review that may be carried over into the results of this model.


Author
------


Javanese DistilBERT Small IMDB Classifier was trained and evaluated by Wilson Wongso. All computation and development are done on Google Colaboratory using their free GPU access.


If you use any of our models in your research, please cite:
passage: TAGS
#transformers #pytorch #tf #distilbert #text-classification #javanese-distilbert-small-imdb-classifier #jv #dataset-w11wo/imdb-javanese #arxiv-1910.01108 #license-mit #autotrain_compatible #endpoints_compatible #region-us 
### As Text Classifier


Disclaimer
----------


Do consider the biases which came from the IMDB review that may be carried over into the results of this model.


Author
------


Javanese DistilBERT Small IMDB Classifier was trained and evaluated by Wilson Wongso. All computation and development are done on Google Colaboratory using their free GPU access.


If you use any of our models in your research, please cite: