Model: tomaarsen/splade-cocondenser-kldiv-marginmse-minilm-temp-4
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
widget: The ejection fraction may decrease if: 1  You have weakness of your heart muscle, such as dilated cardiomyopathy, which can be caused by a heart muscle problem, familial (genetic) cardiomyopathy, or systemic illnesses. 2  A heart attack has damaged your heart.  You have problems with your heart's valves., One thing we avoided: Lots of alternative slime recipes swap Borax for liquid starch, shampoo, body wash, hand soap, contact lens solution, or laundry detergent. Those may seem benign â and they might be â but many of them contain derivatives or relatives of sodium borate too., how do i get my mvr in pa, English is a language whose vocabulary is the composite of a surprising range of influences. We have pillaged words from Latin, Greek, Dutch, Arabic, Old Norse, Spanish, Italian, Hindi, and more besides to make English what it is today., Weed Eater was a string trimmer company founded in 1971 in Houston, Texas by George C. Ballas, Sr. , the inventor of the device. The idea for the Weed Eater trimmer came to him from the spinning nylon bristles of an automatic car wash.He thought that he could come up with a similar technique to protect the bark on trees that he was trimming around. His company was eventually bought by Emerson Electric and merged with Poulan.Poulan/Weed Eater was later purchased by Electrolux, which spun off the outdoors division as Husqvarna AB in 2006.Inventor Ballas was the father of champion ballroom dancer Corky Ballas and the grandfather of Dancing with the Stars dancer Mark Ballas.George Ballas died on June 25, 2011.he idea for the Weed Eater trimmer came to him from the spinning nylon bristles of an automatic car wash. He thought that he could come up with a similar technique to protect the bark on trees that he was trimming around. His company was eventually bought by Emerson Electric and merged with Poulan.
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: 78.12595691469743
energy_consumed: 0.2009919087493695
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: 0.571
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: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.56
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.72
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.18666666666666668
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14400000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08999999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.42
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.56
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.72
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6291399713464962
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5467460317460318
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5503396478777393
name: Dot Map@100
verified: no, type: query_active_dims
value: 23.31999969482422
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992359609562013
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 257.3004150390625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9915700014730665
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: 0.56
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.66
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.38666666666666666
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.32800000000000007
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.272
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.041590314149379026
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07672442108786207
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.09154300468916865
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.1433130618338512
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.33898990155781883
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5123809523809524
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.1505453583653259
name: Dot Map@100
verified: no, type: query_active_dims
value: 21.260000228881836
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9993034532393394
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 494.8533630371094
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9837869941996883
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: 0.74
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: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2533333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16399999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08999999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.42
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.7
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.74
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.81
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6304630848492498
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5837460317460317
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5712846533262134
name: Dot Map@100
verified: no, type: query_active_dims
value: 28
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990826289233995
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 290.61212158203125
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9904786016125408
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: 0.43333333333333335
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6999999999999998
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7999999999999999
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.43333333333333335
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.27555555555555555
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.21200000000000005
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.15066666666666664
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.29386343804979304
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.44557480702928737
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5171810015630562
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6177710206112837
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5328643192511883
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5476243386243386
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.42405655318975954
name: Dot Map@100
verified: no, type: query_active_dims
value: 24.19333330790202
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992073477063135
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 324.00429792464917
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9893845652996315
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-06-26 10:47:28