Model: tomaarsen/splade-cocondenser-msmarco-kldiv-minilm-threshold
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseDistillKLDivLoss, loss:FlopsLoss, feature-extraction, en, arxiv:1908.10084, arxiv:2205.04733, arxiv:2010.11386, 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 models (finetune): 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:99000, loss:SpladeLoss, loss:SparseDistillKLDivLoss, loss:FlopsLoss
base_model: Luyu/co-condenser-marco
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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: 80.19586757744133
energy_consumed: 0.20631709530036207
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: 0.606
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: CoCondenser finetuned on MS MARCO
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: dot_accuracy@1
value: 0.34
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.54
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.68
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.34
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.18
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.136
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.34
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.54
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.68
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.8
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5536387082079334
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.47621428571428565
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4871698934837092
name: Dot Map@100
verified: no, type: query_active_dims
value: 224.6999969482422
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9926380972102666
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 519.2117919921875
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9829889328355879
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus
type: NanoNFCorpus
metrics: type: dot_accuracy@1
value: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.66
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.72
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.36666666666666664
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.3440000000000001
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.272
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04202378573043321
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09903115832887796
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.12166389615470453
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.14686804014722007
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.34309454902458447
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5205555555555555
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.16297327824481755
name: Dot Map@100
verified: no, type: query_active_dims
value: 193.16000366210938
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9936714499815835
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 712.2963256835938
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9766628554588954
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ
type: NanoNQ
metrics: type: dot_accuracy@1
value: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.66
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.78
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16399999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.092
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.42
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.63
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.74
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.82
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6291291692569377
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5775555555555555
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5657484123460346
name: Dot Map@100
verified: no, type: query_active_dims
value: 240.1199951171875
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.992132887913073
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 602.9705810546875
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9802447224606944
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean
type: NanoBEIR_mean
metrics: type: dot_accuracy@1
value: 0.39999999999999997
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6000000000000001
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7066666666666667
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7866666666666666
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.39999999999999997
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.25555555555555554
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.2146666666666667
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14800000000000002
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.2673412619101444
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.423010386109626
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5138879653849014
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5889560133824067
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5086208088298185
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5247751322751322
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4052971946915204
name: Dot Map@100
verified: no, type: query_active_dims
value: 219.32666524251303
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9928141450349744
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 595.3305956849517
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9804950332322604
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-06-25 15:30:06