Model: hojzas/proj4-all-labs
Author: hojzas
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, mpnet, sentence-transformers, text-classification, generated_from_setfit_trainer, dataset:hojzas/proj4-all-labs, 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-all-labs
metrics: accuracy
widget: return list(dict.fromkeys(sorted(it))),     perms = all_permutations_substrings(string)\n    result = perms & set(words)\n    return set(i for i in words if i in perms), return [l for i, l in enumerate(it) if i == it.index(l)],     unique_items = set(it)
    return sorted(list(unique_items)),     seen = set()
    result = []
    for word in it:
        if word not in seen:
            result.append(word)
            seen.add(word)
    return result
pipeline_tag: text-classification
inference: yes
co2_eq_emissions: emissions: 6.0133985248367114
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: 0.019
hardware_used: 4 x NVIDIA RTX A5000
base_model: sentence-transformers/all-mpnet-base-v2
Likes: 0 | All-time downloads: 866
Created: 2024-02-05 09:25:48