Model: Kelvinmbewe/mbert_Lusaka_Language_Analysis
Author: Kelvinmbewe
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, bert, text-classification, sentiment-analysis, multilingual, transformer, zambia, lusaka, en, ny, bem, dataset:michsethowusu/english-chichewa_sentence-pairs_mt560, dataset:michsethowusu/Code-170k-bemba, dataset:Beijuka/BEMBA_big_c, base_model:google-bert/bert-base-multilingual-cased, base_model:finetune:google-bert/bert-base-multilingual-cased, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-multilingual-cased
Card metadata: language: en, ny, bem
tags: sentiment-analysis, multilingual, transformer, zambia, lusaka
license: apache-2.0
library_name: transformers
pipeline_tag: text-classification
base_model: google-bert/bert-base-multilingual-cased
datasets: michsethowusu/english-chichewa_sentence-pairs_mt560, michsethowusu/Code-170k-bemba, Beijuka/BEMBA_big_c
metrics: accuracy, precision, recall, f1, confusion_matrix, validation_loss
model-index: name: LusakaLang
results: task: type: text-classification
name: Sentiment Analysis
dataset: name: LusakaLang Test Set
type: lusakalang
config: default
split: test
metrics: type: accuracy
value: 0.9973
name: accuracy
verified: no, type: precision
value: 0.9973
name: precision
verified: no, type: recall
value: 0.9973
name: recall
verified: no, type: f1
value: 0.9978
name: f1
verified: no
Likes: 0 | All-time downloads: 92
Created: 2025-12-31 01:58:15