Model: tomaarsen/splade-cocondenser-msmarco-kldiv-minilm-temp-4-4
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: 84.59075991049266
energy_consumed: 0.21762368063578955
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: 0.604
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: 0.74
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14800000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.44
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.66
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.74
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.63362678550763
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5680238095238095
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5766838178161707
name: Dot Map@100
verified: no, type: query_active_dims
value: 22.760000228881836
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992543083602359
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 272.80706787109375
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9910619530872454
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: 0.46
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: 0.46
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3933333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.3440000000000001
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.282
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04221166591589208
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07719378894418584
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.09684108169610303
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.1427058103213476
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3502842525878076
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5328571428571429
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.1536038321685343
name: Dot Map@100
verified: no, type: query_active_dims
value: 19.299999237060547
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9993676692471968
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 540.7974853515625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9822817153085787
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: 0.46
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.78
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.78
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.86
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.46
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2733333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16399999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.092
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.43
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.74
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.74
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.82
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6473909452701805
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6065
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5881698592291996
name: Dot Map@100
verified: no, type: query_active_dims
value: 26.540000915527344
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9991304632423981
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 305.70428466796875
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9899841332590273
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: 0.68
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7200000000000001
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7933333333333333
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.45333333333333337
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2955555555555555
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.2186666666666667
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.15266666666666664
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.30407055530529736
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4923979296480619
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.525613693898701
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6009019367737825
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5437673277885393
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5691269841269841
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.43948583640463496
name: Dot Map@100
verified: no, type: query_active_dims
value: 22.866666793823242
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992508136166102
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 346.2483378727889
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9886557781969467
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 19
Created: 2025-06-25 20:38:38