Model: tomaarsen/splade-cocondenser-selfdistil-msmarco-kldiv-marginmse-minilm-temp-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: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: 74.11328091908729
energy_consumed: 0.19066863797738956
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: 0.529
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: 0.5
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.72
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.78
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: 0.24
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.15600000000000003
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08999999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.5
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.72
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.78
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.692559735480892
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6271349206349207
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.6331693210171472
name: Dot Map@100
verified: no, type: query_active_dims
value: 52.619998931884766
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982759976760407
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 479.5088195800781
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9842897313550856
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: 0.4
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.66
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.4133333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.376
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.28
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04274099249570955
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09844580911535704
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.12134614709973399
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.1441647542435728
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3523510638904095
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5145555555555555
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.16031971106294274
name: Dot Map@100
verified: no, type: query_active_dims
value: 48.41999816894531
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9984136033625272
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 909.0663452148438
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9702160295781782
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: 0.76
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.84
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.5
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.25999999999999995
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.176
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09599999999999997
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.48
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.72
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.79
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.86
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6904624131625036
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6484126984126983
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.630649052744641
name: Dot Map@100
verified: no, type: query_active_dims
value: 58.65999984741211
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9980781075995213
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 531.6292114257812
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9825820977843596
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: 0.4666666666666666
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6999999999999998
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7599999999999999
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8333333333333334
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4666666666666666
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.30444444444444446
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.236
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.15533333333333332
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.34091366416523644
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.512815269705119
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5637820490332447
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6347215847478576
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5784577375112683
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5967010582010582
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.474712694941577
name: Dot Map@100
verified: no, type: query_active_dims
value: 53.23333231608073
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982559028793632
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 596.99094268211
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9804406348639633
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 23
Created: 2025-06-25 22:24:16