Model: tomaarsen/splade-cocondenser-selfdistil-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: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: 75.9206249826641
energy_consumed: 0.19531832864936144
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: 0.553
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: 0.46
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: 0.46
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: 0.09
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.46
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: 0.676931365708276
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6062380952380952
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.6122624542124542
name: Dot Map@100
verified: no, type: query_active_dims
value: 51.619998931884766
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9983087609287765
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 441.6393127441406
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9855304595785289
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: 0.4
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.36
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.278
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.043886153786032125
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09839280864951196
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11924740453381892
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.14352816521830591
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.35475606674062105
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5255555555555556
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.16480415057927536
name: Dot Map@100
verified: no, type: query_active_dims
value: 48.08000183105469
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9984247427484747
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 905.4971313476562
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9703329686341767
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: 0.78
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.86
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.92
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.5
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.26666666666666666
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.176
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09799999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.47
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.73
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.8
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.88
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6878825397115623
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.641222222222222
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.6191568883963842
name: Dot Map@100
verified: no, type: query_active_dims
value: 56.779998779296875
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9981397025496593
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 500.4834289550781
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9836025349270991
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: 0.8266666666666667
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4666666666666666
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3022222222222222
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.23066666666666666
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.15533333333333332
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.32462871792867737
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.516130936216504
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.566415801511273
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6411760550727686
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5731899907201531
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.591005291005291
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.46540783106270456
name: Dot Map@100
verified: no, type: query_active_dims
value: 52.15999984741211
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982910687423036
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 569.4922989660922
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.981341579877921
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 28
Created: 2025-06-26 07:51:51