Model: almanach/camembertv2-base-cls
Author: almanach
Pipeline: text-classification
Library: transformers
Tags: transformers, tensorboard, safetensors, roberta, text-classification, review-classification, fr, dataset:FLUE-CLS, arxiv:2411.08868, base_model:almanach/camembertv2-base, base_model:finetune:almanach/camembertv2-base, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: almanach/camembertv2-base
Card metadata: language: fr
license: mit
tags: roberta, text-classification, review-classification
base_model: almanach/camembertv2-base
datasets: FLUE-CLS
metrics: accuracy
pipeline_tag: text-classification
library_name: transformers
widget: text: Le livre est très intéressant et j'ai appris beaucoup de choses.
example_title: Books Review, text: Le film était ennuyeux et je n'ai pas aimé les acteurs.
example_title: DVD Review, text: La musique était très bonne et j'ai adoré les paroles.
example_title: Music Review
model-index: name: almanach/camembertv2-base-cls
results: task: type: text-classification
name: Amazon Review Classification
dataset: type: flue-cls
name: FLUE-CLS
metrics: name: accuracy
type: accuracy
value: 0.95199
verified: no
Likes: 1 | All-time downloads: 280
Created: 2024-11-14 16:36:33