Model: Rogendo/qa-helpline-distilbert-v1
Author: Rogendo
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, distilbert, qa-metrics, call-center, multi-head, transcript-analysis, customer-service, quality-assurance, child-helplines, crisis-support, social-impact, swahili, east-africa, helpline, text-classification, en, dataset:custom, base_model:distilbert/distilbert-base-uncased, base_model:finetune:distilbert/distilbert-base-uncased, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: distilbert/distilbert-base-uncased
Card metadata: license: apache-2.0
library_name: transformers
pipeline_tag: text-classification
tags: qa-metrics, call-center, multi-head, distilbert, transcript-analysis, customer-service, quality-assurance, child-helplines, crisis-support, social-impact, swahili, east-africa, helpline
language: en
datasets: custom
metrics: accuracy, f1, precision, recall
model-index: name: qa-helpline-distilbert-v1
results: task: type: text-classification
name: Quality Assurance Multi-Head Classification
metrics: type: accuracy
value: 0.85
name: Overall Accuracy
verified: no, type: f1
value: 0.82
name: Weighted F1 Score
verified: no
widget: Hello, thank you for calling our helpline. My name is Sarah, how can I help you today? I understand your concern completely. Let me check that information for you right away. Please hold for just a moment. Thank you for holding. I've found the solution and can help you now. Is there anything else I can assist with? Thank you for calling, have a wonderful day!
base_model: distilbert/distilbert-base-uncased
Likes: 0 | All-time downloads: 29
Created: 2025-09-26 13:01:20