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Thai Classification Benchmark

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Codes can be run in Colab to confirm performance
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Charin
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# Thai Text Classification Benchmark
All codes can be found at [thai2fit](https://github.com/cstorm125/thai2fit/).
## Versions
* Python>=3.6
* PyTorch>=1.0
* fastai>=1.0.38
## [wongnai-corpus](https://github.com/wongnai/wongnai-corpus)
Results are based on evaluation of [Wongnai Challenge: Review Rating Prediction](https://www.kaggle.com/c/wongnai-challenge-review-rating-prediction/leaderboard). Codes can be reproduced on Colab with this [notebook](https://github.com/cstorm125/thai2fit/blob/master/wongnai_cls/classification.ipynb).
| model | micro_f1_public | micro_f1_private |
|-----------|-----------------|------------------|
| **ULMFit** | **0.59590** | **0.59731** |
| fastText | 0.5145 | 0.5109 |
| LinearSVC | 0.5022 | 0.4976 |
| Kaggle Score | 0.59139 | 0.58139 |