Model: hts98/NER-bert-base-multilingual-cased
Author: hts98
Tags: pytorch, bert, generated_from_trainer, dataset:hts98/UIT, base_model:google-bert/bert-base-multilingual-cased, base_model:finetune:google-bert/bert-base-multilingual-cased, license:apache-2.0, model-index, region:us
Base models (finetune): id: google-bert/bert-base-multilingual-cased
Card metadata: license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags: generated_from_trainer
datasets: hts98/UIT
metrics: precision, recall, f1, accuracy
model-index: name: NER-bert-base-multilingual-cased
results: task: name: Token Classification
type: token-classification
dataset: name: hts98/UIT
type: hts98/UIT
metrics: name: Precision
type: precision
value: 0.6037588097102584
verified: no, name: Recall
type: recall
value: 0.6459089639765428
verified: no, name: F1
type: f1
value: 0.624123043712898
verified: no, name: Accuracy
type: accuracy
value: 0.77568599379623
verified: no
Likes: 0 | All-time downloads: 169
Created: 2025-02-05 13:57:58