ACARISBERT-DistilBERT

Model Card for ACARISBERT-DistilBERT

A 3-class DistilBERT model finetuned on 300k rows of labeled Discord messages, Twitter posts, and Reddit comments (refs soon). Classes: ["pos", "neg", "neu"].

Model Details

Model Description

An encoder-only sentiment analysis model finetuned to classify text sequences into three sentiment classes: "pos", "neg", and "neu".

• Developed by: OngakkenAI
• Model type: DistilBertForSequenceClassification (modified for multiclass)
• Language(s) (NLP): en
• License: Proprietary (while running eval and testing)
• Finetuned from model: DistilBERT

Uses

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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

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How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

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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

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Technical Specifications [optional]

Model Architecture and Objective

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Software

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Citation [optional]

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Glossary [optional]

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