Model: mrhalim2001/nli-roberta-base-finetuned-for-amazon-review-ratings2
Author: mrhalim2001
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, roberta, text-classification, generated_from_trainer, dataset:amazon_reviews_multi, base_model:cross-encoder/nli-roberta-base, base_model:finetune:cross-encoder/nli-roberta-base, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: cross-encoder/nli-roberta-base
Card metadata: license: apache-2.0
base_model: cross-encoder/nli-roberta-base
tags: generated_from_trainer
datasets: amazon_reviews_multi
metrics: accuracy
model-index: name: nli-roberta-base-finetuned-for-amazon-review-ratings2
results: task: name: Text Classification
type: text-classification
dataset: name: amazon_reviews_multi
type: amazon_reviews_multi
config: en
split: validation
args: en
metrics: name: Accuracy
type: accuracy
value: 0.55
verified: no
Likes: 0 | All-time downloads: 259
Created: 2023-08-18 18:05:01