Model: kikwaib/mt5-base-kenswquad-abstractive
Author: kikwaib
Pipeline: question-answering
Library: transformers
Tags: transformers, tensorboard, safetensors, mt5, text2text-generation, question-answering, swahili, seq2seq, abstractive-qa, low-resource, curriculum-learning, context-scaffolding, sw, en, dataset:KenSwQuAD, base_model:kikwaib/mt5-base-kenswquad-extractive, base_model:finetune:kikwaib/mt5-base-kenswquad-extractive, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: kikwaib/mt5-base-kenswquad-extractive
Card metadata: language: sw, en
license: apache-2.0
library_name: transformers
tags: question-answering, swahili, mt5, seq2seq, text2text-generation, abstractive-qa, low-resource, curriculum-learning, context-scaffolding
datasets: KenSwQuAD
metrics: bleu, bertscore
pipeline_tag: question-answering
model-index: name: mt5-base-kenswquad-abstractive
results: task: type: question-answering
name: Abstractive Question Answering
dataset: name: KenSwQuAD (Abstractive Subset)
type: custom
config: abstractive
split: test
metrics: type: bleu
value: 15.52
name: BLEU
verified: no, type: bertscore
value: 0.7721
name: BERTScore F1
verified: no
base_model: kikwaib/mt5-base-kenswquad-extractive
Likes: 0 | All-time downloads: 56
Created: 2025-12-20 11:26:12