Model: nmarinnn/bert-schiaretti
Author: nmarinnn
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, xlm-roberta, text-classification, sentiment-analysis, spanish, es, dataset:custom, base_model:cardiffnlp/twitter-xlm-roberta-base-sentiment, base_model:finetune:cardiffnlp/twitter-xlm-roberta-base-sentiment, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: cardiffnlp/twitter-xlm-roberta-base-sentiment
Card metadata: language: es
tags: sentiment-analysis, text-classification, spanish, xlm-roberta
license: mit
datasets: custom
metrics: accuracy, f1
library_name: transformers
pipeline_tag: text-classification
widget: text: Vamos schiaretti!
example_title: Ejemplo positivo, text: el otro día pensaba eso
example_title: Ejemplo neutro, text: no puede gobernar
example_title: Ejemplo negativo
model-index: name: bert-schiaretti
results: task: type: text-classification
name: Sentiment Analysis
dataset: name: Custom Spanish Sentiment Dataset
type: custom
metrics: type: accuracy
value: 0.677
verified: no, type: f1
value: 0.664
verified: no
architectures: XLMRobertaForSequenceClassification
transformers_version: 4.41.2
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
inference: parameters: temperature: 1
max_length: 512
num_return_sequences: 1
Likes: 0 | All-time downloads: 10
Created: 2024-09-05 14:05:28