Model: tomaarsen/splade-cocondenser-msmarco-kldiv-marginmse-minilm-temp-1
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:SparseDistillKLDivMarginMSELoss, loss:FlopsLoss, feature-extraction, en, arxiv:1908.10084, arxiv:2205.04733, 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:SparseDistillKLDivMarginMSELoss, 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: 77.14438516748078
energy_consumed: 0.19846665354817
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: 0.578
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: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.66
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.76
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.88
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.15200000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.088
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.44
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.66
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.76
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.88
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.645536657894161
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.572190476190476
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5774290488125073
name: Dot Map@100
verified: no, type: query_active_dims
value: 23.760000228881836
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992215451075
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 258.9573669433594
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9915157143390552
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: 0.48
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.64
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.66
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.48
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.38
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.34
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.268
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.06402330808129303
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09590589540914247
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11309431562544696
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.13813433693816635
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.35203699820894735
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.544
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.16732193348025554
name: Dot Map@100
verified: no, type: query_active_dims
value: 20.139999389648438
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9993401481098995
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 472.5543518066406
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9845175823403891
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: 0.4
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.78
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.82
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.82
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.26666666666666666
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.176
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.088
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.38
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.73
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.79
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.79
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.623574865581681
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5756666666666667
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.568630068926546
name: Dot Map@100
verified: no, type: query_active_dims
value: 28.700000762939453
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990596946214881
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 276.1902770996094
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9909511081482337
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: 0.43999999999999995
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6866666666666666
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7399999999999999
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7866666666666666
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.43999999999999995
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2888888888888889
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.22266666666666668
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.148
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.2946744360270977
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.49530196513638086
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.554364771875149
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6027114456460555
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5403828405615965
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5639523809523809
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4377936837397696
name: Dot Map@100
verified: no, type: query_active_dims
value: 24.200000127156574
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992071292796292
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 314.0198793321237
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9897116873293977
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 26
Created: 2025-06-26 08:54:16