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  ---
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  # csuy-4613-Project
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- # Milestone 1
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  The operating system that is being used is Windows 10 Home. In order to run Docker on this operating system, a
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  Windows Subsystem for Linux (WSL) must be used.
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  ![docker](https://user-images.githubusercontent.com/33811542/227808275-baf0dec3-181c-4b04-beeb-b42c35667edb.jpg)
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- Milestone 2
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  Hugging Face URL:
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  https://huggingface.co/spaces/dahongj/sentiment-analysis
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  functionality to output back onto HuggingFace's interface for the user to see. This was done for all three
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  models.
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- Milestone 3
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  Finetuned Model URL: https://huggingface.co/dahongj/finetuned_toxictweets
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  of training as demonstrated on the HuggingFace documentation, the model was trained and evaluated.
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  Both the finetuned model and its tokenizer are saved and uploaded onto HuggingFace.
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- Milestone 4
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  Results:
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  The resulting web application on HuggingFace is a sentiment analysis application that allows users
 
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  ---
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  # csuy-4613-Project
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+ ## Milestone 1
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  The operating system that is being used is Windows 10 Home. In order to run Docker on this operating system, a
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  Windows Subsystem for Linux (WSL) must be used.
 
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  ![docker](https://user-images.githubusercontent.com/33811542/227808275-baf0dec3-181c-4b04-beeb-b42c35667edb.jpg)
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+ ## Milestone 2
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  Hugging Face URL:
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  https://huggingface.co/spaces/dahongj/sentiment-analysis
 
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  functionality to output back onto HuggingFace's interface for the user to see. This was done for all three
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  models.
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+ ## Milestone 3
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  Finetuned Model URL: https://huggingface.co/dahongj/finetuned_toxictweets
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  of training as demonstrated on the HuggingFace documentation, the model was trained and evaluated.
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  Both the finetuned model and its tokenizer are saved and uploaded onto HuggingFace.
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+ ## Milestone 4
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  Results:
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  The resulting web application on HuggingFace is a sentiment analysis application that allows users