Model: tomaarsen/splade-cocondenser-msmarco-margin-mse-small
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
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 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:90000, loss:SpladeLoss, loss:SparseMarginMSELoss, loss:FlopsLoss
base_model: Luyu/co-condenser-marco
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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: 84.77861327949611
energy_consumed: 0.21810696440845714
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: 0.618
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: CoCondenser trained on Natural-Questions tuples
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: dot_accuracy@1
value: 0.46
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.64
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.72
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.82
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.46
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.21333333333333335
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14400000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08199999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.46
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.64
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.72
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.82
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6288613269928542
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5688571428571428
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5779425698484522
name: Dot Map@100
verified: no, type: query_active_dims
value: 56.099998474121094
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9981619815715183
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 192.40869140625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9936960654149056
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: 0.38
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.58
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.62
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.74
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.38
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.36
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.316
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.26999999999999996
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.039663209420347775
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07520387221675563
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.09363263999248954
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.14669853217549625
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3303519560816792
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.49576984126984125
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.14778057031019226
name: Dot Map@100
verified: no, type: query_active_dims
value: 53.68000030517578
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982412685831473
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 367.5431823730469
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9879580898246167
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: 0.5
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.76
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.8
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.88
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.5
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.25999999999999995
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16799999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09599999999999997
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.48
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.71
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.75
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.85
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.677150216479017
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6328888888888887
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.6167275355591967
name: Dot Map@100
verified: no, type: query_active_dims
value: 55.939998626708984
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9981672236869567
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 228.83615112304688
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9925025833456834
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: 0.4466666666666667
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.66
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7133333333333333
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8133333333333334
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4466666666666667
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.27777777777777773
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.20933333333333334
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14933333333333332
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.3265544031401159
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.47506795740558516
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5212108799974965
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.605566177391832
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5454544998511834
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5658386243386242
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.44748355857261374
name: Dot Map@100
verified: no, type: query_active_dims
value: 55.23999913533529
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9981901579472073
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 246.17159613336406
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9919346177795241
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 9
Created: 2025-06-12 13:43:19