jpalli3/bert-imdb-sentiment-analysis

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Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: Joshua Palli (jpalli3)
• Model type: bert-base-uncased
• Language(s): Python
• Finetuned from model [optional]: bert-base-uncased

Model Sources [optional]

• Repository: https://huggingface.co/bert-base-uncased
• Paper [optional]: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (https://arxiv.org/abs/1810.04805)
• Demo [optional]: [More Information Needed]

Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

A fine-tuned BERT model that classifies movie reviews as positive or negative using Hugging Face Transformers. Trained in Google Colab.