Model: tomaarsen/splade-cocondenser-msmarco-marginmse-minilm
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:SparseMarginMSELoss, loss:FlopsLoss, feature-extraction, en, 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:99000, loss:SpladeLoss, loss:SparseMarginMSELoss, 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: 77.13102522249498
energy_consumed: 0.19843228288636278
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: 0.57
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: 0.68
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.76
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.86
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22666666666666666
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.15200000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.086
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.42
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.68
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.76
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.86
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6371759938785516
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5664444444444444
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5730802138695755
name: Dot Map@100
verified: no, type: query_active_dims
value: 25.6200008392334
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9991606054374146
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 225.39817810058594
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.992615222524717
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: 0.64
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.64
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.4066666666666666
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.3440000000000001
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.27
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04337183907606525
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09851045598569312
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11471234465928698
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.1423220674897641
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3449585353935118
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5406349206349206
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.15413724127069892
name: Dot Map@100
verified: no, type: query_active_dims
value: 22.739999771118164
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9992549636402884
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 376.8753662109375
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9876523371269597
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: 0.76
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.84
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: 0.26
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.176
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.092
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.43
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.7
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.79
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.82
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.656948324062141
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6214999999999999
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5992843261842711
name: Dot Map@100
verified: no, type: query_active_dims
value: 28.84000015258789
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990551077861022
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 250.8101348876953
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9917826441619915
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: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6933333333333334
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7466666666666666
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8066666666666666
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.29777777777777775
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.22400000000000006
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14933333333333332
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.2977906130253551
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4928368186618977
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.554904114886429
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6074406891632548
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5463609511114015
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5761931216931216
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.44216726044151516
name: Dot Map@100
verified: no, type: query_active_dims
value: 25.733333587646484
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9991568922879351
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 269.54378004310485
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9911688690111032
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-06-26 11:40:44