Hugging Face model: tomaarsen/mpnet-base-gooaq-qat-nanobeir
Author: tomaarsen
Created: 2026-02-03 17:48:42
Last modified: 2026-02-03 17:48:47
Pipeline: sentence-similarity
Library: sentence-transformers
Likes: 0 | Downloads: 95
Tags: sentence-transformers, safetensors, mpnet, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:90000, loss:QuantizationAwareLoss, loss:MultipleNegativesRankingLoss, en, dataset:sentence-transformers/gooaq, arxiv:1908.10084, arxiv:1712.05877, arxiv:1705.00652, base_model:microsoft/mpnet-base, base_model:finetune:microsoft/mpnet-base, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base model relation: finetune
Base models: id: microsoft/mpnet-base
Card metadata:
language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:90000, loss:QuantizationAwareLoss, loss:MultipleNegativesRankingLoss
base_model: microsoft/mpnet-base
datasets: sentence-transformers/gooaq
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100, float32_cosine_accuracy@1, float32_cosine_accuracy@3, float32_cosine_accuracy@5, float32_cosine_accuracy@10, float32_cosine_precision@1, float32_cosine_precision@3, float32_cosine_precision@5, float32_cosine_precision@10, float32_cosine_recall@1, float32_cosine_recall@3, float32_cosine_recall@5, float32_cosine_recall@10, float32_cosine_ndcg@10, float32_cosine_mrr@10, float32_cosine_map@100, int8_cosine_accuracy@1, int8_cosine_accuracy@3, int8_cosine_accuracy@5, int8_cosine_accuracy@10, int8_cosine_precision@1, int8_cosine_precision@3, int8_cosine_precision@5, int8_cosine_precision@10, int8_cosine_recall@1, int8_cosine_recall@3, int8_cosine_recall@5, int8_cosine_recall@10, int8_cosine_ndcg@10, int8_cosine_mrr@10, int8_cosine_map@100, binary_cosine_accuracy@1, binary_cosine_accuracy@3, binary_cosine_accuracy@5, binary_cosine_accuracy@10, binary_cosine_precision@1, binary_cosine_precision@3, binary_cosine_precision@5, binary_cosine_precision@10, binary_cosine_recall@1, binary_cosine_recall@3, binary_cosine_recall@5, binary_cosine_recall@10, binary_cosine_ndcg@10, binary_cosine_mrr@10, binary_cosine_map@100
co2_eq_emissions: emissions: 24.189339165162018
energy_consumed: 0.09038621326035234
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: 0.253
hardware_used: 1 x NVIDIA GeForce RTX 3090