Model: mbrewerdavis/phrasebank-sentiment-analysis
Author: mbrewerdavis
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, bert, text-classification, generated_from_trainer, dataset:financial_phrasebank, 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: financial_phrasebank
metrics: f1, accuracy
model-index: name: phrasebank-sentiment-analysis
results: task: name: Text Classification
type: text-classification
dataset: name: financial_phrasebank
type: financial_phrasebank
config: sentences_50agree
split: train
args: sentences_50agree
metrics: name: F1
type: f1
value: 0.8427553411350498
verified: no, name: Accuracy
type: accuracy
value: 0.8548830811554333
verified: no
Likes: 0 | All-time downloads: 11
Created: 2023-10-29 19:34:37