Model: tomaarsen/setfit-absa-paraphrase-mpnet-base-v2-restaurants-aspect
Author: tomaarsen
Pipeline: text-classification
Library: setfit
Tags: setfit, pytorch, safetensors, mpnet, absa, sentence-transformers, text-classification, generated_from_setfit_trainer, arxiv:2209.11055, base_model:sentence-transformers/paraphrase-mpnet-base-v2, base_model:finetune:sentence-transformers/paraphrase-mpnet-base-v2, model-index, co2_eq_emissions, region:us
Base models (finetune): id: sentence-transformers/paraphrase-mpnet-base-v2
Card metadata: library_name: setfit
tags: setfit, absa, sentence-transformers, text-classification, generated_from_setfit_trainer
metrics: accuracy
widget: bar:After really enjoying ourselves at the bar we sat down at a table and had dinner., interior decor:this little place has a cute interior decor and affordable city prices., cuisine:The cuisine from what I've gathered is authentic Taiwanese, though its very different from what I've been accustomed to in Taipei., dining:Go here for a romantic dinner but not for an all out wow dining experience., Taipei:The cuisine from what I've gathered is authentic Taiwanese, though its very different from what I've been accustomed to in Taipei.
pipeline_tag: text-classification
inference: no
co2_eq_emissions: emissions: 8.62132655272333
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
ram_total_size: 31.777088165283203
hours_used: 0.111
hardware_used: 1 x NVIDIA GeForce RTX 3090
base_model: sentence-transformers/paraphrase-mpnet-base-v2
model-index: name: SetFit Aspect Model with sentence-transformers/paraphrase-mpnet-base-v2
results: task: type: text-classification
name: Text Classification
dataset: name: Unknown
type: unknown
split: test
metrics: type: accuracy
value: 0.8779507785032646
name: Accuracy
verified: no
Likes: 1 | All-time downloads: 6362
Created: 2023-12-06 11:40:35