Model: tomaarsen/splade-cocondenser-msmarco-kldiv-minilm-temp-4-4-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
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: 88.17422892354735
energy_consumed: 0.2268427456600361
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: 0.63
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: 0.7
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.74
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.23333333333333336
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14800000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.42
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: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6348960194801231
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5690555555555554
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5776254538567386
name: Dot Map@100
verified: no, type: query_active_dims
value: 27.360000610351562
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9991035973851533
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 256.0434265136719
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9916111845058099
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: 0.62
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3933333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.34
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.284
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.041590314149379026
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09711680662430183
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11327799666444953
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.14271397386056503
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.35074853572898734
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5207222222222223
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.1536713832192701
name: Dot Map@100
verified: no, type: query_active_dims
value: 24.18000030517578
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992077845388515
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 469.2952880859375
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9846243598687525
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: 0.68
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.76
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: 0.24
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: 0.41
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.66
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.72
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.8
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6225168576235638
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5777777777777777
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5641882335199778
name: Dot Map@100
verified: no, type: query_active_dims
value: 31.299999237060547
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.998974510214368
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 277.2951354980469
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9909149093932884
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: 0.66
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7066666666666667
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7933333333333333
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.43333333333333335
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2888888888888889
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.216
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.15266666666666664
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.2905301047164597
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.48570560220810055
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5244259988881498
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5942379912868551
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5360538042775581
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5558518518518518
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4318283568653289
name: Dot Map@100
verified: no, type: query_active_dims
value: 27.613333384195965
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990952973794576
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 312.5805381673614
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9897588448277517
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-06-25 21:20:50