Rameen191/sentiment-tutorial

sentiment-tutorial

Fine-tuned distilbert-base-uncased for binary sentiment classification.

Intended Use

Classify English text as positive or negative.

Training Procedure

• —Base model: distilbert-base-uncased
• —Epochs: 2
• —Learning rate: 2e-5
• —Batch size: 32
• —Max length: 128

Evaluation Results

Accuracy: 0.869

Precision: 0.878

Recall: 0.858

F1: 0.868

Limitations

• —Binary classification only
• —English only
• —Movie reviews domain

Usage

from transformers import pipeline

classifier = pipeline( "sentiment-analysis", model="Rameen191/sentiment-tutorial" )

classifier("This was a great experience!")