Model: sparse-encoder/example-splade-co-condenser-marco-msmarco-mse-margin
Author: sparse-encoder
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
widget: how old do you have to be to have lasik, when is house of cards on netflix, Answer by lauryn (194). The length of time it takes a women to get her period after giving birth varies from women to women. For many women it can take about 2 to 3 months before your period returns to normal. If you are nursing than this time frame will last even longer., what are cys residues, You heard about fastest cars, bikes and plans but today we have world fastest bird collection. In our collection we have top 10 fastest birds of the world. Birdâs flight speed is fundamentally changeable; a hunting bird speed will increase while diving-to-catch prey as compared to its gliding speeds. Here we have the top 10 fastest birds with their flight speed. 10. Teal 109 km/h (68mph) This bird can fly 109 km/ h (68mph); they are 53 to 59cm long. This bird always lives in group. 09.
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
model-index: name: splade-co-condenser-marco trained on MS MARCO hard negatives with distillation
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: dot_accuracy@1
value: 0.4
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.68
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.20666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.136
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.4
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.62
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.68
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6076647728795561
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5352777777777777
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5419469179877314
name: Dot Map@100
verified: no, type: query_active_dims
value: 54.119998931884766
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982268527969371
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 187.67538452148438
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.993851143944647
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.4
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.68
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.20666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.136
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.4
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.62
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.68
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6076647728795561
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5352777777777777
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5419469179877314
name: Dot Map@100
verified: no, type: query_active_dims
value: 54.119998931884766
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982268527969371
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 187.67538452148438
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.993851143944647
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: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.64
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.68
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.34
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.316
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.27
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.06311467051346893
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09895898433766803
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.1169352131561954
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.14677603057730104
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.34523070842752446
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5258333333333334
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.16994217536385264
name: Dot Map@100
verified: no, type: query_active_dims
value: 51.70000076293945
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9983061398085663
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 336.32476806640625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9889809066225539
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.64
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.68
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.34
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.316
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.27
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.06311467051346893
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09895898433766803
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.1169352131561954
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.14677603057730104
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.34523070842752446
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5258333333333334
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.16994217536385264
name: Dot Map@100
verified: no, type: query_active_dims
value: 51.70000076293945
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9983061398085663
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 336.32476806640625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9889809066225539
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: 0.52
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.74
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: 0.52
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2533333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08999999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.48
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.69
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.73
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.8
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6594960548473345
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6369365079365078
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.6105143613696246
name: Dot Map@100
verified: no, type: query_active_dims
value: 53.34000015258789
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982524080940768
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 223.5908660888672
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9926744359449294
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.52
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.74
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: 0.52
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2533333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08999999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.48
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.69
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.73
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.8
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6594960548473345
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6369365079365078
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.6105143613696246
name: Dot Map@100
verified: no, type: query_active_dims
value: 53.34000015258789
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982524080940768
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 223.5908660888672
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9926744359449294
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: 0.45333333333333337
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6533333333333333
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7000000000000001
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7866666666666666
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.45333333333333337
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.26666666666666666
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.204
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.148
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.314371556837823
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4696529947792227
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5089784043853984
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5955920101924337
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5374638453848051
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.566015873015873
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4408011515737362
name: Dot Map@100
verified: no, type: query_active_dims
value: 53.0533332824707
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982618002331933
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 235.2385860639544
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9922928187515905
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.5580533751962323
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.7137205651491366
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7722448979591837
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8291679748822605
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.5580533751962323
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3332705389848246
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.26179591836734695
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.179171114599686
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.32499349487208484
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4721752731683537
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5337131771857326
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6042058945750339
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.578707182604652
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6493701377987092
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5041070229886567
name: Dot Map@100
verified: no, type: query_active_dims
value: 86.67950763908115
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.997160097384212
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 230.5675761418069
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.992445856230201
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoClimateFEVER
type: NanoClimateFEVER
metrics: type: dot_accuracy@1
value: 0.32
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.52
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.54
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.62
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.32
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08199999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.165
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.26
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.28733333333333333
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.32233333333333336
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.30365156381250225
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4207222222222222
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.25580876542561
name: Dot Map@100
verified: no, type: query_active_dims
value: 135.3000030517578
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.99556713180487
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 270.1291198730469
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9911496913743186
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoDBPedia
type: NanoDBPedia
metrics: type: dot_accuracy@1
value: 0.74
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.86
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.9
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.94
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.74
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.6133333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.588
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.508
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.07635143960629845
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.1800129405239251
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.23739681193828663
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.33976750488378327
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.622759301760137
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.8137142857142856
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4830025510651395
name: Dot Map@100
verified: no, type: query_active_dims
value: 52.2599983215332
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982877924670227
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 219.79901123046875
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9927986694439921
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoFEVER
type: NanoFEVER
metrics: type: dot_accuracy@1
value: 0.8
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.92
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.94
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.96
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.8
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.31999999999999995
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.204
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.10599999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.7566666666666666
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.8866666666666667
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.92
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.95
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.871923100931238
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.8608333333333333
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.8427126216077829
name: Dot Map@100
verified: no, type: query_active_dims
value: 79.13999938964844
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9974071161984913
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 287.1961669921875
name: Corpus Active Dims
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verified: no, type: dot_precision@10
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verified: no, task: type: sparse-information-retrieval
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verified: no, type: dot_precision@10
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verified: no, type: dot_recall@1
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verified: no, task: type: sparse-information-retrieval
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dataset: name: NanoTouche2020
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name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 34
Created: 2025-06-18 22:30:03