Model: santiviquez/amazon_reviews_finetuning-sentiment-model-3000-samples
Author: santiviquez
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, bert, text-classification, generated_from_trainer, dataset:amazon_reviews_multi, base_model:nlptown/bert-base-multilingual-uncased-sentiment, base_model:finetune:nlptown/bert-base-multilingual-uncased-sentiment, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: nlptown/bert-base-multilingual-uncased-sentiment
Card metadata: license: mit
base_model: nlptown/bert-base-multilingual-uncased-sentiment
tags: generated_from_trainer
datasets: amazon_reviews_multi
metrics: accuracy, f1
model-index: name: amazon_reviews_finetuning-sentiment-model-3000-samples
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: 0.58
verified: no, name: F1
type: f1
value: 0.5603711644808317
verified: no
Likes: 0 | All-time downloads: 323
Created: 2023-09-26 11:27:12