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* create README.md * Apply suggestions from code review Co-authored-by: Julien Chaumond <[email protected]>
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language: vn | ||
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# BERT for Vietnamese is trained on more 20 GB news dataset | ||
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Apply for task sentiment analysis on using [AIViVN's comments dataset](https://www.aivivn.com/contests/6) | ||
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The model achieved 0.90268 on the public leaderboard, (winner's score is 0.90087) | ||
Bert4news is used for a toolkit Vietnames(segmentation and Named Entity Recognition) at ViNLPtoolkit(https://github.com/bino282/ViNLP) | ||
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***************New Mar 11 , 2020 *************** | ||
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**[BERT](https://github.com/google-research/bert)** (from Google Research and the Toyota Technological Institute at Chicago) released with the paper [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://arxiv.org/abs/1810.04805). | ||
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We use word sentencepiece, use basic bert tokenization and same config with bert base with lowercase = False. | ||
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You can download trained model: | ||
- [tensorflow](https://drive.google.com/file/d/1X-sRDYf7moS_h61J3L79NkMVGHP-P-k5/view?usp=sharing). | ||
- [pytorch](https://drive.google.com/file/d/11aFSTpYIurn-oI2XpAmcCTccB_AonMOu/view?usp=sharing). | ||
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Run training with base config | ||
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``` bash | ||
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python train_pytorch.py \ | ||
--model_path=bert4news.pytorch \ | ||
--max_len=200 \ | ||
--batch_size=16 \ | ||
--epochs=6 \ | ||
--lr=2e-5 | ||
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``` | ||
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### Contact information | ||
For personal communication related to this project, please contact Nha Nguyen Van ([email protected]). |