Model: tomaarsen/splade-cocondenser-selfdistil-msmarco-kldiv-marginmse-minilm-temp-2
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:naver/splade-cocondenser-selfdistil, base_model:finetune:naver/splade-cocondenser-selfdistil, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: naver/splade-cocondenser-selfdistil
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: naver/splade-cocondenser-selfdistil
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: 74.24181475845897
energy_consumed: 0.19099931247706203
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: 0.538
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: Splade++ SelfDistil 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: 0.48
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.72
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: 0.48
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.24
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.15200000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.088
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.48
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.72
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: 0.6789440910753606
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6152460317460318
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.623735393261709
name: Dot Map@100
verified: no, type: query_active_dims
value: 51.29999923706055
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9983192451596533
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 457.3063659667969
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9850171559541708
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: 0.64
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.66
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.42
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.368
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.268
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.043886153786032125
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.10029219928432787
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.12057424691420322
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.13996724389184406
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3502752820588681
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5246666666666666
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.164425597779567
name: Dot Map@100
verified: no, type: query_active_dims
value: 47.880001068115234
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9984312954240182
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 851.7050170898438
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9720953732687948
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: 0.5
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.74
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.86
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.5
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2533333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.17999999999999997
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09599999999999997
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.48
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.7
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.81
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.86
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6880938743633814
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6456666666666666
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.6259150569314219
name: Dot Map@100
verified: no, type: query_active_dims
value: 56.97999954223633
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9981331498741158
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 527.3356323242188
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9827227694016047
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: 0.47333333333333333
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6866666666666665
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7533333333333333
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8133333333333334
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.47333333333333333
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3044444444444444
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.2333333333333333
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.15066666666666664
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.3346287179286773
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.5067640664281092
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5635247489714011
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6266557479639481
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5724377491658701
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5951931216931217
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.471358682657566
name: Dot Map@100
verified: no, type: query_active_dims
value: 52.0533332824707
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982945634859293
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 573.7407587897557
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9812023865149808
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-06-26 07:12:02