Model: kikwaib/mt5-base-kenswquad-extractive
Author: kikwaib
Pipeline: question-answering
Tags: tensorboard, safetensors, mt5, question-answering, seq2seq, curriculum-learning, swahili, low-resource-nlp, extractive-qa, sw, en, multilingual, dataset:KenSwQuAD, base_model:kikwaib/mt5-base-squad-transfer, base_model:finetune:kikwaib/mt5-base-squad-transfer, license:apache-2.0, model-index, region:us
Base models (finetune): id: kikwaib/mt5-base-squad-transfer
Card metadata: language: sw, en, multilingual
license: apache-2.0
tags: question-answering, seq2seq, curriculum-learning, mt5, swahili, low-resource-nlp, extractive-qa
datasets: KenSwQuAD
metrics: bleu
base_model: kikwaib/mt5-base-squad-transfer
pipeline_tag: question-answering
model-index: name: mt5-base-kenswquad-extractive
results: task: type: question-answering
name: Extractive Question Answering
dataset: name: KenSwQuAD (Extractive Subset)
type: custom
metrics: name: BLEU
type: bleu
value: 48.99
verified: no
Likes: 0 | All-time downloads: 59
Created: 2025-12-20 08:03:24