Modelpublic

imShub10/msgsense-sms-albert-cleanaddr-fulldata-20260424

sourceHugging Facemitupdated 5mo agoView on Hugging Face

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Model Card

MsgSense SMS Classifier

This model predicts a composite label in the format:

<score>_<sms_type_id>

—score (first digit): message importance used by app policy.
—sms_type_id (second part): category id from SmsClassificationTypeEntity mapping.

Input Format

Sender: <clean_address> | Message: <normalized body>

Output Decoding

Example output label: 3_37

—score = 3
—sms_type_id = 37 (SERVICE_NOTIFICATION)

Usage

python

from transformers import pipeline

pipe = pipeline(
    "text-classification",
    model="imShub10/msgsense-sms-albert-cleanaddr-fulldata-20260424",
)

text = "Sender: DAIKIN | Message: Your service request is scheduled."
print(pipe(text))

ALBERT

—accuracy: 0.95984
—f1 (weighted): 0.95965
—f1_macro: 0.91522
—precision: 0.96071
—recall: 0.95984
—test_loss: 0.59873
—train_loss: 0.01425
—trainingtimemin: 91.7
—modelsizemb: 46.6