Model: shre-db/bert-base-uncased-finetuned-smsspam
Author: shre-db
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, bert, text-classification, generated_from_trainer, dataset:sms_spam, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-uncased
Card metadata: license: apache-2.0
base_model: bert-base-uncased
tags: generated_from_trainer
datasets: sms_spam
metrics: accuracy, precision, recall, f1
model-index: name: bert-base-uncased-finetuned-smsspam
results: task: name: Text Classification
type: text-classification
dataset: name: sms_spam
type: sms_spam
config: plain_text
split: train
args: plain_text
metrics: name: Accuracy
type: accuracy
value: 0.9904420549581839
verified: no, name: Precision
type: precision
value: 0.9814814814814815
verified: no, name: Recall
type: recall
value: 0.9464285714285714
verified: no, name: F1
type: f1
value: 0.9636363636363636
verified: no
Likes: 0 | All-time downloads: 339
Created: 2023-08-20 14:22:06