Model: tomaarsen/splade-co-condenser-marco-greedy-msmarco-hard-negatives-v5
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:10000, loss:SpladeLoss, loss:SparseMarginMSELoss, loss:FlopsLoss, feature-extraction, en, dataset:tomaarsen/msmarco-Qwen3-Reranker-0.6B, arxiv:1908.10084, arxiv:2205.04733, arxiv:2010.02666, arxiv:2004.05665, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:10000, loss:SpladeLoss, loss:SparseMarginMSELoss, loss:FlopsLoss
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datasets: tomaarsen/msmarco-Qwen3-Reranker-0.6B
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: 32.851387284675674
energy_consumed: 0.08451561166311383
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: 0.274
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: splade-co-condenser-marco-greedy trained on MS MARCO hard negatives with distillation
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: msmarco eval 1kq 1kd
type: msmarco-eval-1kq-1kd
metrics: type: dot_accuracy@1
value: 0.951
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.985
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.989
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.992
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.951
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.32833333333333325
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.19780000000000003
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09920000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.951
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.985
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.989
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.992
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.9744135371427797
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.9684499999999999
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.9686698065770335
name: Dot Map@100
verified: no, type: query_active_dims
value: 21.079999923706055
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9993093506348304
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 108.0469970703125
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9964600289276485
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-08-08 15:59:37