Model: germla/satoken
Author: germla
Pipeline: text-classification
Library: sentence-transformers
Tags: sentence-transformers, pytorch, bert, setfit, text-classification, en, fr, ko, zh, ja, pt, ru, dataset:imdb, doi:10.57967/hf/0905, license:apache-2.0, model-index, region:us
Card metadata: license: apache-2.0
tags: setfit, sentence-transformers, text-classification
pipeline_tag: text-classification
library_name: sentence-transformers
metrics: accuracy, f1, precision, recall
language: en, fr, ko, zh, ja, pt, ru
datasets: imdb
model-index: name: germla/satoken
results: task: type: text-classification
name: sentiment-analysis
dataset: type: imdb
name: imdb
split: test
metrics: type: accuracy
value: 73.976
name: Accuracy
verified: no, type: f1
value: 73.1667079105832
name: F1
verified: no, type: precision
value: 75.51506895964584
name: Precision
verified: no, type: recall
value: 70.96
name: Recall
verified: no, task: type: text-classification
name: sentiment-analysis
dataset: type: sepidmnorozy/Russian_sentiment
name: sepidmnorozy/Russian_sentiment
split: train
metrics: type: accuracy
value: 75.66371681415929
name: Accuracy
verified: no, type: f1
value: 83.6421871425303
name: F1
verified: no, type: precision
value: 75.25730753396459
name: Precision
verified: no, type: recall
value: 94.129763130793
name: Recall
verified: no
Likes: 1 | All-time downloads: 295
Created: 2023-07-19 16:09:11