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bert-sentiment-finetuned
Gwen01/bert-sentiment-finetuned
bert-sentiment-finetuned is a text classification model from Gwen01. Use it when you need a label for a piece of text. The card lists the license as mit.
This model is a fine-tuned version of bert-base-uncased for sentiment classification of civic-related public feedback.
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At a glance
- Task
- Text Classification
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026
- SHA
- 65ace2dd
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Base models
Model card
From the Hugging Face model README
BERT Fine-Tuned for Sentiment Analysis
This model is a fine-tuned version of bert-base-uncased for sentiment classification of civic-related public feedback.
Task
- Sentiment Analysis
- Classes: Negative, Neutral, Positive
Dataset
The dataset consists of manually annotated civic-related user comments written in English, Filipino, and Taglish.
Training
- Framework: Hugging Face Transformers
- Epochs: (put your value)
- Batch size: (put your value)
- Optimizer: AdamW
Intended Use
Academic research and sentiment analysis of public service feedback.
Limitations
The model may not generalize well to domains outside civic-related comments.
- Task
- Text Classification
- Type
- bert
- License
- mit
- Languages
- en, tl
- Created
- Jan 26, 2026
- Updated
- Jan 26, 2026