Model: readerbench/ro-sentiment
Author: readerbench
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, bert, text-classification, sentiment, classification, romanian, nlp, ro, dataset:decathlon_reviews, dataset:cinemagia_reviews, base_model:readerbench/RoBERT-base, base_model:finetune:readerbench/RoBERT-base, model-index, endpoints_compatible, region:us
Base models (finetune): id: readerbench/RoBERT-base
Card metadata: base_model: readerbench/RoBERT-base
language: ro
tags: sentiment, classification, romanian, nlp, bert
datasets: decathlon_reviews, cinemagia_reviews
metrics: accuracy, precision, recall, f1, f1 weighted
model-index: name: ro-sentiment
results: task: type: text-classification
name: Text Classification
dataset: type: ro_sent
name: Rommanian Sentiment Dataset
config: default
split: all
metrics: type: accuracy
value: 0.85
name: Accuracy
verified: no, type: precision
value: 0.85
name: Precision
verified: no, type: recall
value: 0.85
name: Recall
verified: no, type: f1_weighted
value: 0.85
name: Weighted F1
verified: no, type: f1_macro
value: 0.84
name: Macro F1
verified: no, task: type: text-classification
name: Text Classification
dataset: type: laroseda
name: A Large Romanian Sentiment Data Set
config: default
split: all
metrics: type: accuracy
value: 0.85
name: Accuracy
verified: no, type: precision
value: 0.86
name: Precision
verified: no, type: recall
value: 0.85
name: Recall
verified: no, type: f1_weighted
value: 0.84
name: Weighted F1
verified: no, type: f1_macro
value: 0.84
name: Macro F1
verified: no
Likes: 1 | All-time downloads: 553310
Created: 2023-08-07 13:33:20