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README.md
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Hello! This is a project for CS-UY 4613: Artificial Intelligence. I'm providing a step-by-step instruction on finetuning language models for detecting toxic tweets. All codes are well commented.
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# Everthing you need to know
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----Code behind app: [app.py](app.py)
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----Code for how to finetune a language model: [finetune.ipynb](milestone3/finetune.ipynb)
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Performance of the model using [test_model.py](test_model.py) is shown below. The result is generated on 2000 randomly selected samples from [train.csv](milestone3/comp/train.csv)
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```
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Hello! This is a project for CS-UY 4613: Artificial Intelligence. I'm providing a step-by-step instruction on finetuning language models for detecting toxic tweets. All codes are well commented.
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# Everthing you need to know
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* **HuggingFace app**: https://huggingface.co/spaces/andyqin18/sentiment-analysis-app
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----Code behind app: [app.py](app.py)
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* **Finetuned model**: https://huggingface.co/andyqin18/finetuned-bert-uncased
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----Code for how to finetune a language model: [finetune.ipynb](milestone3/finetune.ipynb)
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* **Demonstration video**: https://youtu.be/d7qUxv-MB2M
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* **Landing page**: https://sites.google.com/nyu.edu/aiprojectbyandyqin/home
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Performance of the model using [test_model.py](test_model.py) is shown below. The result is generated on 2000 randomly selected samples from [train.csv](milestone3/comp/train.csv)
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```
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