Hugging Face model: sparse-encoder/example-splade-co-condenser-marco-msmarco-mse-margin
Author: sparse-encoder
Created: 2025-06-18 22:30:03
Last modified: 2025-06-18 22:30:05
Pipeline: feature-extraction
Library: sentence-transformers
Likes: 0 | Downloads: 92
Tags: sentence-transformers, safetensors, bert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:90000, loss:SpladeLoss, loss:SparseMarginMSELoss, loss:FlopsLoss, feature-extraction, en, dataset:sentence-transformers/msmarco, arxiv:1908.10084, arxiv:2205.04733, arxiv:2010.02666, arxiv:2004.05665, base_model:Luyu/co-condenser-marco, base_model:finetune:Luyu/co-condenser-marco, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base model relation: finetune
Base models: id: Luyu/co-condenser-marco
Card metadata:
language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:90000, loss:SpladeLoss, loss:SparseMarginMSELoss, loss:FlopsLoss
base_model: Luyu/co-condenser-marco
datasets: sentence-transformers/msmarco
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: 34.21475343773813
energy_consumed: 0.0926891546467269
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: AMD EPYC 7R13 Processor
ram_total_size: 248
hours_used: 0.305
hardware_used: 1 x NVIDIA H100 80GB HBM3