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--- |
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language: id |
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tags: |
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- roberta |
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license: mit |
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datasets: |
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- indonlu |
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widget: |
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- text: "Hal-hal baik akan datang." |
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--- |
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# Indo RoBERTa Emotion Classifier |
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Indo RoBERTa Emotion Classifier is emotion classifier based on [Indo-roberta](https://huggingface.co/flax-community/indonesian-roberta-base) model. It was trained on the trained on [IndoNLU EmoT](https://huggingface.co/datasets/indonlu) dataset. The model used was [Indo-roberta](https://huggingface.co/flax-community/indonesian-roberta-base) and was transfer-learned to an emotion classifier model. Based from the [IndoNLU bencmark](https://www.indobenchmark.com/), the model achieve an f1-macro of 72.05%, accuracy of 71.81%, precision of 72.47% and recall of 71.94%. |
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## Model |
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The model was trained on 7 epochs with learning rate 2e-5. Achieved different metrics as shown below. |
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| Epoch | Training Loss | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|-------|---------------|-----------------|----------|----------|-----------|----------| |
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| 1 | 1.300700 | 1.005149 | 0.622727 | 0.601846 | 0.640845 | 0.611144 | |
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| 2 | 0.806300 | 0.841953 | 0.686364 | 0.694096 | 0.701984 | 0.696657 | |
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| 3 | 0.591900 | 0.796794 | 0.686364 | 0.696573 | 0.707520 | 0.691671 | |
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| 4 | 0.441200 | 0.782094 | 0.722727 | 0.724359 | 0.725985 | 0.730229 | |
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| 5 | 0.334700 | 0.809931 | 0.711364 | 0.720550 | 0.718318 | 0.724608 | |
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| 6 | 0.268400 | 0.812771 | 0.718182 | 0.724192 | 0.721222 | 0.729195 | |
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| 7 | 0.226000 | 0.828461 | 0.725000 | 0.733625 | 0.731709 | 0.735800 | |
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## How to Use |
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### As Text Classifier |
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```python |
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from transformers import pipeline |
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pretrained_name = "StevenLimcorn/indonesian-roberta-base-emotion-classifier" |
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nlp = pipeline( |
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"sentiment-analysis", |
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model=pretrained_name, |
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tokenizer=pretrained_name |
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) |
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nlp("Hal-hal baik akan datang.") |
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``` |
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## Disclaimer |
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Do consider the biases which come from both the pre-trained RoBERTa model and the `EmoT` dataset that may be carried over into the results of this model. |
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## Author |
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Indonesian RoBERTa Base Emotion Classifier was trained and evaluated by [Steven Limcorn](https://github.com/stevenlimcorn). All computation and development are done on Google Colaboratory using their free GPU access. |
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If used, please cite |
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```bibtex |
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@misc {steven_limcorn_2023, |
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author = { {Steven Limcorn} }, |
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title = { indonesian-roberta-base-emotion-classifier (Revision e8a9cb9) }, |
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year = 2023, |
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url = { https://huggingface.co/StevenLimcorn/indonesian-roberta-base-emotion-classifier }, |
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doi = { 10.57967/hf/0681 }, |
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publisher = { Hugging Face } |
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} |
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``` |
