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samandar1105/
text-summarizer

Name: text-summarizer
Availability: InStock

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T5-small Fine-Tuned on CNN/DailyMail

This model generates abstractive summaries of English news articles.

Model Details

Base model: t5-small
Dataset: CNN/DailyMail v3.0.0
Task: Abstractive text summarization
Framework: PyTorch + HuggingFace Transformers

Performance (ROUGE, on held-out test sample)

Metric	Score
ROUGE-1	36.1
ROUGE-2	15.36
ROUGE-L	26.07

How to Use

⚠️ This model requires the "summarize: " prefix on every input, since it's a T5 model.

python

from transformers import pipeline

summarizer = pipeline("summarization", model="samandar1105/text-summarizer")
text = "summarize: " + "YOUR LONG ARTICLE TEXT HERE"
result = summarizer(text, max_length=80, min_length=20, do_sample=False)
print(result[0]["summary_text"])

Training Details

Learning rate: 3e-5
Epochs: 4
Batch size: 8
Max input length: 512 tokens
Max target length: 128 tokens