Model: tomaarsen/splade-cocondenser-selfdistil-msmarco-kldiv-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: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: 76.24194637429329
energy_consumed: 0.1961449809218715
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: 0.56
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: 0.52
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.74
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.78
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.9
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.52
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.24666666666666665
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: 0.52
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.74
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.78
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.7057081345989107
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6444285714285715
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.6506547800026061
name: Dot Map@100
verified: no, type: query_active_dims
value: 47.439998626708984
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9984457113352104
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 432.3940124511719
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9858333656886452
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: 0.64
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.46
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.4133333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.368
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.27
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.044208734431193414
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.09908116648411099
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.12033775710506063
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.13851351320365388
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3523892211907443
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5323333333333333
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.16556055002240438
name: Dot Map@100
verified: no, type: query_active_dims
value: 43.939998626708984
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9985603827197854
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 822.7362060546875
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9730444857461933
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: 0.88
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: 0.25999999999999995
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.17999999999999997
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09799999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.47
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.72
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.82
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.88
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6961382994820328
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6543333333333333
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.628540832440469
name: Dot Map@100
verified: no, type: query_active_dims
value: 53.720001220703125
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982399580230423
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 492.2486572265625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9838723328344615
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: 0.49333333333333335
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6999999999999998
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7666666666666666
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.82
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.49333333333333335
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.30666666666666664
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.23466666666666666
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.15266666666666664
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.34473624481039783
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.5196937221613703
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5734459190350202
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6395045044012179
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5847452184238958
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6103650793650793
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4815853874884932
name: Dot Map@100
verified: no, type: query_active_dims
value: 48.36666615804037
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9984153506926794
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 543.9778229150867
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9821775171052
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 23
Created: 2025-06-24 11:25:36