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SergeiM89/CRCD-distilbert-sentiment-trained
CRCD-distilbert-sentiment-trained is a text classification model from SergeiM89. Use it when you need a label for a piece of text. It is set up for transformers.
A fine-tuned DistilBERT model for sentiment analysis of English customer and product reviews.
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From the Hugging Face model README
A fine-tuned DistilBERT model for sentiment analysis of English customer and product reviews.
The model classifies reviews into three sentiment classes:
| Label ID | Sentiment |
|---|---|
| 0 | negative |
| 1 | neutral |
| 2 | positive |
The model contains a DistilBERT encoder and a classification head with three output neurons.
The model was fine-tuned on the CRCD Balanced Sentiment Dataset:
https://huggingface.co/datasets/SergeiM89/CRCD-sentiment-balanced-3class
The dataset contains English customer and product reviews with negative, neutral, and positive sentiment labels.
The data was cleaned, balanced, and divided into training, validation, and test splits before fine-tuning.
Base model:
https://huggingface.co/distilbert/distilbert-base-uncased
Training dataset:
https://huggingface.co/datasets/SergeiM89/CRCD-sentiment-balanced-3class