This tutorial covers fine-tuning a BERT model to perform sentiment analysis from the Financial Tweet Sentiment Dataset.

We applied the following tools in this notebook:

• We used the HuggingFace library to perform data processing, fine-tune the BERT model, and evaluate the accuracy between the predicted class and reference.
• We benchmarked the naive BERT model and the fine-tuned BERT model, and we were able to boost performance by 17%.
• We used MLFlow for model training logging, which is a useful MLOps tool.

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