Model: hojzas/proj4-uniq_srt-lab2
Author: hojzas
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, mpnet, sentence-transformers, text-classification, generated_from_setfit_trainer, dataset:hojzas/proj4-uniq_srt-lab2, arxiv:2209.11055, base_model:sentence-transformers/all-mpnet-base-v2, base_model:finetune:sentence-transformers/all-mpnet-base-v2, co2_eq_emissions, region:us
Base models (finetune): id: sentence-transformers/all-mpnet-base-v2
Card metadata: library_name: setfit
tags: setfit, sentence-transformers, text-classification, generated_from_setfit_trainer
datasets: hojzas/proj4-uniq_srt-lab2
metrics: accuracy
widget: return sorted(list(dict.fromkeys(it).keys())),     uniq_list = list(set(it))
    uniq_list.sort()
    return uniq_list, it=sorted(set(list(it)))
    return it,     sequence_list = list(it)
    unique_list = list(set(sequence_list))
    sorted_list = sorted(unique_list, reverse=False)
    return sorted_list, return list(dict.fromkeys(sorted(it)))
pipeline_tag: text-classification
inference: yes
co2_eq_emissions: emissions: 0.7119941051678922
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: Intel(R) Xeon(R) Silver 4314 CPU @ 2.40GHz
ram_total_size: 251.49161911010742
hours_used: 0.003
hardware_used: 4 x NVIDIA RTX A5000
base_model: sentence-transformers/all-mpnet-base-v2
Likes: 0 | All-time downloads: 6
Created: 2024-02-05 06:43:53