Hugging Face model: sparse-encoder/example-inference-free-splade-distilbert-base-uncased-nq
Author: sparse-encoder
Created: 2025-06-12 16:06:48
Last modified: 2025-06-30 15:59:54
Pipeline: feature-extraction
Library: sentence-transformers
Likes: 5 | Downloads: 0
Tags: sentence-transformers, safetensors, sparse-encoder, sparse, asymmetric, inference-free, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss, feature-extraction, en, dataset:sentence-transformers/natural-questions, arxiv:1908.10084, arxiv:2205.04733, arxiv:1705.00652, arxiv:2004.05665, license:apache-2.0, model-index, co2_eq_emissions, endpoints_compatible, region:us
Card metadata:
language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, asymmetric, inference-free, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss
datasets: sentence-transformers/natural-questions
pipeline_tag: feature-extraction
library_name: sentence-transformers
metrics: dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10, dot_recall@1, dot_recall@3, dot_recall@5, dot_recall@10, dot_ndcg@10, dot_mrr@10, dot_map@100, query_active_dims, query_sparsity_ratio, corpus_active_dims, corpus_sparsity_ratio
co2_eq_emissions: emissions: 31.669923216397244
energy_consumed: 0.08147610049960444
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: 0.209
hardware_used: 1 x NVIDIA GeForce RTX 3090